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Готові списки джерел за темами / Remote Sensing; Landsat-8 OLI; Water Indices / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Remote Sensing; Landsat-8 OLI; Water Indices.

Статті в журналах з теми "Remote Sensing; Landsat-8 OLI; Water Indices"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Al-Fartusi, Adel Jassim, Mutasim Ibrahim Malik, and Hameed Majeed Abduljabbar. "Utilizing Spectral Indices to Estimate Total Dissolved Solids in Water Body Northwest Arabian Gulf." ILMU KELAUTAN: Indonesian Journal of Marine Sciences 28, no. 3 (2023): 217–24. http://dx.doi.org/10.14710/ik.ijms.28.3.217-224.

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Remote sensing techniques have made it possible to monitor an important parameter of water quality, total dissolved solids (TDS), more appropriately and regularly. The research aims to assess Landsat 8 OLI images' ability to expose TDS on the sea surface in Iraqi marine waters. six band combinations were employed in the correlation analysis between band values and six dissolved solids samples collected during the fieldwork in three sampling stations to determine the amount of total dissolved solids (TDS): st1, st2, and st3 in December 2014 (26,38,36.9) g.L-1 and mid-January 2022 (27.4,37.9,37)

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2

Ghofrani, Zahra, Victor Sposito, and Robert Faggian. "Improving flood monitoring in rural areas using remote sensing." Water Practice and Technology 14, no. 1 (2018): 160–71. http://dx.doi.org/10.2166/wpt.2018.118.

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Abstract Precise information on the extent of inundated land is required for flood monitoring, relief, and protective measures. In this paper, two spectral indices, Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI), were used to identify inundated areas during heavy rainfall events in the Tarwin catchment, Victoria, Australia, using Landsat-8 OLI imagery. By integrating the assessed condition of levees, this research also explains the inefficiency of the flood control measures of this region of Australia. NDWI and MNDWI indices performed well, but

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3

Synan, Haley E., Brian L. Howes, Sara Sampieri, and Steven E. Lohrenz. "Water Quality Monitoring Using Landsat 8 OLI in Pleasant Bay, Massachusetts, USA." Remote Sensing 17, no. 4 (2025): 638. https://doi.org/10.3390/rs17040638.

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Water quality monitoring is essential to assess and manage anthropogenic eutrophication, especially for coastal estuaries in heavily populated areas. Current monitoring techniques rely on in situ sampling, which can be expensive and limited in spatial and temporal coverage. Satellite remote sensing, using the Landsat 8 (Operational Land Imager, OLI) platform, has the potential to provide more extensive coverage than traditional methods. Coastal waters are optically more complex and often shallower and more enclosed than the open ocean, presenting conditions that pose challenges to remote sensi

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4

Chen, Jie, Yankun Wang, Jingzhe Wang, et al. "The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis." Remote Sensing 16, no. 11 (2024): 1984. http://dx.doi.org/10.3390/rs16111984.

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The rapid and accurate extraction of water information from satellite imagery has been a crucial topic in remote sensing applications and has important value in water resources management, water environment monitoring, and disaster emergency management. Although the OLI-2 sensor onboard Landsat-9 is similar to the well-known OLI onboard Landsat-8, there were significant differences in the average absolute percentage change in the bands for water detection. Additionally, the performance of Landsat-9 in water body extraction is yet to be fully understood. Therefore, it is crucial to conduct comp

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5

Mancino, Giuseppe, Agostino Ferrara, Antonietta Padula, and Angelo Nolè. "Cross-Comparison between Landsat 8 (OLI) and Landsat 7 (ETM+) Derived Vegetation Indices in a Mediterranean Environment." Remote Sensing 12, no. 2 (2020): 291. http://dx.doi.org/10.3390/rs12020291.

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Landsat 8 is the most recent generation of Landsat satellite missions that provides remote sensing imagery for earth observation. The Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images, together with Landsat-8 Operational Land Imager (OLI) and Thermal Infrared sensor (TIRS) represent fundamental tools for earth observation due to the optimal combination of the radiometric and geometric images resolution provided by these sensors. However, there are substantial differences between the information provided by Landsat 7 and Landsat 8. In order to perform a multi-temporal analysis, a cross-comp

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6

Moradi, M., M. Sahebi, and M. Shokri. "MODIFIED OPTIMIZATION WATER INDEX (MOWI) FOR LANDSAT-8 OLI/TIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (September 27, 2017): 185–90. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-185-2017.

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Water is one of the most important resources that essential need for human life. Due to population growth and increasing need of human to water, proper management of water resources will be one of the serious challenges of next decades. Remote sensing data is the best way to the management of water resources due time and cost effectiveness over a greater range of temporal and spatial scales. Between many kinds of satellite data, from SAR to optic or from high resolution to low resolution, Landsat imagery is more interesting data for water detection and management of earth surface water. Landsa

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7

Zhao, Minyan, and Fiachra O’Loughlin. "Mapping Irish Water Bodies: Comparison of Platforms, Indices and Water Body Type." Remote Sensing 15, no. 14 (2023): 3677. http://dx.doi.org/10.3390/rs15143677.

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Accurate monitoring of water bodies is essential for the management and regulation of water resources. Traditional methods for measuring water quality are always time-consuming and expensive; furthermore, it can be very difficult capture the full spatiotemporal variations across regions. Many studies have shown the possibility of remote-sensing-based water monitoring work in many areas, especially for water quality monitoring. However, the use of optical remotely sensed imagery depends on several factors, including weather, quality of images and the size of water bodies. Hence, in this study,

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8

Yousefian, F., M. Sahebi, M. Shokri, and M. Moradi. "A NOVEL WATER INDEX (SWI) FOR SALTY WATER FROM LANDSAT 8 OLI/TIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 19, 2019): 1097–105. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-1097-2019.

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Abstract. Monitoring natural resources is one of the most important tasks in earth observation and remote sensing satellites. Water resources play a crucial role in the life of human on the planet. Among the water resources, salty lakes are of particular importance in biological, physical and environmental issues. In this study, a new Salty Water Index (SWI) for Landsat 8 Operational Land Imager (OLI) images is proposed based on salty lakes by particle swarm optimization (PSO), where water doesn’t combine by cloud, shadow, and salty areas. SWI is implemented on four famous and important salty

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9

Emmanuel, Chigozie Dike* Bright Godfrey Ameme Evangeline Nkiruka Le-ol Anthony. "Comparative Analysis of Multi-Spectral Shoreline Delineation Using Landsat-8, Sentinel-2, and PlanetScope Imageries in Coastal Environments of Nigeria." International Journal of Scientific Research and Technology 2, no. 2 (2025): 159–74. https://doi.org/10.5281/zenodo.14907334.

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Changes in the shoreline position are a result of climate change-induced sea level rise and morphological changes caused by coastal processes. The delineation of shoreline positions relies on robust techniques and data sources, with remote sensing being particularly advantageous due to its cost-effectiveness and technological advancements. The study focuses on the eastern Niger Delta region of Nigeria, utilising mid-resolution multispectral datasets from Landsat-8 OLI, Sentinel-2 MSI, and PlanetScope to compare shoreline positions derived from different water indices (NDVI and NDWI) and classi

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10

Mail, Abd Al Salam Mohammed. "Desertification Detected in the Udhaim River Basin, Iraq Based on Spectral Indices Derived from Remote Sensing Images." Miscellanea Geographica 21, no. 3 (2017): 124–31. http://dx.doi.org/10.1515/mgrsd-2017-0007.

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AbstractIn this study, changes in Land Use Land Cover (LULC) have been investigated over the Udhaim River Basin in Iraq by using spectral indices. NDVI, NDBI, NDWI, NDBaI, and CI represent respectively the vegetation, built-up, water bodies, bare-land, and soil crust of LULC. Two different images were acquired for the analysis, namely a Landsat 5 TM image from 1 July 2007 and a Landsat 8 OLI from 5 June 2015, both representing summer conditions. Results show that the percentages of vegetated land and water body areas have decreased. On the contrary, the percentages of built-up, bare land and s

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11

Moraes, André Geraldo de Lima, Daniel Fonseca de Carvalho, Mauro Antonio Homem Antunes, and Marcos Bacis Ceddia. "Relationship between remote sensing data and field-observed interril erosion." Pesquisa Agropecuária Brasileira 53, no. 3 (2018): 332–41. http://dx.doi.org/10.1590/s0100-204x2018000300008.

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Abstract: The objective of this work was to evaluate the relationship between different remote sensing data, derived from satellite images, and interrill soil losses obtained in the field by using a portable rainfall simulator. The study was carried out in an area of a hydrographic basin, located in Médio Paraíba do Sul, in the state of Rio de Janeiro - one of the regions most affected by water erosion in Brazil. Evaluations were performed for different vegetation indices (NDVI, Savi, EVI, and EVI2) and fraction images (FI), derived from linear spectral mixture analysis (LSMA), obtained from R

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12

Najafzadeh, Mohammad, and Sajad Basirian. "Evaluation of River Water Quality Index Using Remote Sensing and Artificial Intelligence Models." Remote Sensing 15, no. 9 (2023): 2359. http://dx.doi.org/10.3390/rs15092359.

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To restrict the entry of polluting components into water bodies, particularly rivers, it is critical to undertake timely monitoring and make rapid choices. Traditional techniques of assessing water quality are typically costly and time-consuming. With the advent of remote sensing technologies and the availability of high-resolution satellite images in recent years, a significant opportunity for water quality monitoring has arisen. In this study, the water quality index (WQI) for the Hudson River has been estimated using Landsat 8 OLI-TIRS images and four Artificial Intelligence (AI) models, su

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13

Tuan, Tran Anh, Le Dinh Nam, Nguyen Thi Anh Nguyet, Pham Viet Hong, Nguyen Thi Ai Ngan та Vu Le Phuong. "PHÂN TÍCH CÁC CHỈ SỐ NƯỚC TỪ ẢNH VỆ TINH LANDSAT 8 OLI ĐỂ CHIẾT TÁCH ĐƯỜNG BỜ BIỂN KHU VỰC TÂY NAM VIỆT NAM". Tạp chí Khoa học và Công nghệ biển 18, № 4 (2019): 339–49. http://dx.doi.org/10.15625/1859-3097/18/4/10271.

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The paper presents results of analysis of water indices using remote sensing data to extract an instantaneous shoreline at the time of image acquisition on the southwest coast of Vietnam. The water indices as NDWI (Normalized Difference Water Index), MNDWI (Modified Normalized Difference Water Index), and AWEI (Automated Water Extraction Index) were calculated from Landsat 8 OLI imagery. Then, an extracted distribution histogram of water indices’ values in the study area was used to separate the land from the sea. The position having abnormal frequency of pixels on the histogram is the thresho

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14

Dr., Mustafa T. Mustafa, Khalid I. Hassoon Dr., Hussain M. Hussain Dr., and H. Abd Modher. "USING WATER INDICES (NDWI, MNDWI, NDMI, WRI AND AWEI) TO DETECT PHYSICAL AND CHEMICAL PARAMETERS BY APPLY REMOTE SENSING AND GIS TECHNIQUES." International Journal of Research - Granthaalayah 5, no. 10 (2017): 117–28. https://doi.org/10.5281/zenodo.1040209.

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This study was undertaken by analyzing data from satellite image (Landsat-8 OLI) and geographical information system (GIS) to find the relationship between water parameters and water indices of spectral images. The main purpose of this research was to develop a model for the physical and chemical parameters of Gharraf stream in Iraq. The water parameters used in this study included: acidity (PH), Total Dissolved Solids (T.D.S), Alkalinity(ALK), Electrical Conductivity (E.C), Calcium(Ca), Chloride (CL), Sodium (Na), Sulfate (SO4), Potassium (k), Total suspended solid (T.S.S), Total Hardness (TH

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15

Zhou, Yan, Jinwei Dong, Xiangming Xiao, et al. "Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors." Water 9, no. 4 (2017): 256. http://dx.doi.org/10.3390/w9040256.

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Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, and global scales. In addition to image statistics-based supervised and unsupervised classifiers, spectral index- and threshold-based approaches have also been widely used. Many water indices have been proposed to identify surface water bodies; however, the differences in performances of these water indices as well as different sensors on water b

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16

Isiacik Colak, T., G. Senel, and C. Goksel. "COASTLINE ZONE EXTRACTION USING LANDSAT-8 OLI IMAGERY, CASE STUDY: BODRUM PENINSULA, TURKEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W12 (February 21, 2019): 101–4. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w12-101-2019.

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<p><strong>Abstract.</strong> Coastline extraction is a fundamental work for coastal resource management and coastal environmental protection. Today, by using digital image processing techniques, coastline extraction can be done with remote sensing imagery systems. In this study, Landsat 8 Operational Land Imagery (OLI) data have been the main data source due to free access and sufficient spatial resolution for coast line extraction. This research is focused on determining the coastline length and measuring land area by using Landsat 8 OLI satellite image for Bodrum Peninsula

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17

Sylwia, A. Nasiłowska, Kotlarz Jan, Kacprzak Mariusz, Rynkiewicz Alicja, Rotchimmel Karol, and Kubiak Katarzyna. "The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images." Lesne Prace Badawcze / Forest Research Papers 80, no. 1 (2019): 55–68. https://doi.org/10.2478/frp-2019-0005.

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The main aim of this research was to determine the impact of drought (in 2015) on forests stand condition using remote sensing and statistical techniques. The study was based on the analysis of vegetation indices calculated from a series of Landsat-8 OLI satellite images covering the 2014 and 2015 growing seasons. Various tree biophysical and physical parameters as well as forest habitat characteristics were tested in order to find the most significant factors affecting drought resistance. Three approaches were used: (i) index differences, (ii) PCA analysis, and (iii) ANOVA statistical analysi

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18

Kareem, Hayder H., Muammar H. Attaee, and Zainab Ali Omran. "ESTIMATION THE WATER RATIO INDEX (WRI) AND AUTOMATED WATER EXTRACTION INDEX (AWEI) OF BATH IN THE UNITED KINGDOM USING REMOTE SENSING TECHNOLOGY OF THE MULTISPECTRAL DATA OF LANDSAT 8-OLI." Water Conservation & Management 8, no. 2 (2023): 171–78. https://doi.org/10.26480/wcm.02.2024.171.178.

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Remote sensing is commonly utilized for surface cover classification and change analysis. An important approach in studying water resources and assessing hydrological drought involves utilizing remote sensing to extract various land cover features. Given the potential influence of environmental noise, the objective of this study is to devise an index that enhances water extraction accuracy while establishing a stable threshold value. The investigation focuses on the Water Ratio Index (WRI) and the Automated Water Extraction Index (AWEI) in the context of Bath, United Kingdom, particularly addr

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19

Elhag, Mohamed, and Jarbou A. Bahrawi. "Soil salinity mapping and hydrological drought indices assessment in arid environments based on remote sensing techniques." Geoscientific Instrumentation, Methods and Data Systems 6, no. 1 (2017): 149–58. http://dx.doi.org/10.5194/gi-6-149-2017.

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Abstract. Vegetation indices are mostly described as crop water derivatives. The normalized difference vegetation index (NDVI) is one of the oldest remote sensing applications that is widely used to evaluate crop vigor directly and crop water relationships indirectly. Recently, several NDVI derivatives were exclusively used to assess crop water relationships. Four hydrological drought indices are examined in the current research study. The water supply vegetation index (WSVI), the soil-adjusted vegetation index (SAVI), the moisture stress index (MSI) and the normalized difference infrared inde

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20

Putri, Andriani, Sri Azizah Nazhifah, Abdurrahman Ridho, et al. "THE FEASIBILITY OF FUSING SATELLITE IMAGERIES FOR HIGH-FREQUENCY SEA LEVEL MONITORING." Cyberspace: Jurnal Pendidikan Teknologi Informasi 8, no. 1 (2024): 46. http://dx.doi.org/10.22373/cj.v8i1.23504.

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Enhancing the capacity to monitor swift environmental shifts at finer scales requires satellite image that offers high spatial and temporal resolution. However, no individual satellite can offer images meeting both criteria simultaneously. To tackle this challenge, spatial temporal fusion algorithms have been developed to derive fine-scale and time-series images. Conversely, effective monitoring of water levels is crucial for preventing natural disaster, such as flood and tsunami mitigation. Yet, monitoring these natural changes regularly poses challenges for remote sensing satellites, given t

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21

Li, Zhi, and Xiaomei Yang. "Fusion of High- and Medium-Resolution Optical Remote Sensing Imagery and GlobeLand30 Products for the Automated Detection of Intra-Urban Surface Water." Remote Sensing 12, no. 24 (2020): 4037. http://dx.doi.org/10.3390/rs12244037.

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Intra-urban surface water (IUSW) is an indispensable resource for urban living. Accurately acquiring and updating the distributions of IUSW resources is significant for human settlement environments and urban ecosystem services. High-resolution optical remote sensing data are used widely in the detailed monitoring of IUSW because of their characteristics of high resolution, large width, and high frequency. The lack of spectral information in high-resolution remote sensing data, however, has led to the IUSW misclassification problem, which is difficult to fully solve by relying only on spatial

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22

Mustafa, Mustafa T., Khalid I. Hassoon, Hussain M. Hussain, and Modher H. Abd. "USING WATER INDICES (NDWI, MNDWI, NDMI, WRI AND AWEI) TO DETECT PHYSICAL AND CHEMICAL PARAMETERS BY APPLY REMOTE SENSING AND GIS TECHNIQUES." International Journal of Research -GRANTHAALAYAH 5, no. 10 (2017): 117–28. http://dx.doi.org/10.29121/granthaalayah.v5.i10.2017.2289.

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This study was undertaken by analyzing data from satellite image (Landsat-8 OLI) and geographical information system (GIS) to find the relationship between water parameters and water indices of spectral images. The main purpose of this research was to develop a model for the physical and chemical parameters of Gharraf stream in Iraq. The water parameters used in this study included: acidity (PH), Total Dissolved Solids (T.D.S), Alkalinity(ALK), Electrical Conductivity (E.C), Calcium(Ca), Chloride (CL), Sodium (Na), Sulfate (SO4), Potassium (k), Total suspended solid (T.S.S), Total Hardness (TH

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23

Minor, Maria A., Sergey G. Ermilov, Omid Joharchi, and Dmitriy A. Philippov. "Using Spectral Indices Derived from Remote Sensing Imagery to Represent Arthropod Biodiversity Gradients in a European Sphagnum Peat Bog." Arthropoda 1, no. 1 (2022): 35–46. http://dx.doi.org/10.3390/arthropoda1010006.

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Monitoring of peatlands is an important conservation issue. We investigated communities of soil mites (Acari: Oribatida, Mesostigmata) inhabiting a relatively undisturbed European boreal mire characterized by a mosaic of oligotrophic and meso-eutrophic areas. We assess the potential of using remote sensing approach as a mapping and predictive tool for monitoring productivity and arthropod biodiversity in a peat bog. In georeferenced plots, Acari biodiversity, water table level, water pH and plot productivity class on the oligotrophic-eutrophic gradient were recorded. Data from the Landsat 8 OL

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24

Dr., M. Sakthivel*1 Dr. M. H. Kalubarme2 Panhalkar Bilal Dastagir 3. &. Gaikwad Vishal Vilas4. "AGRICULTURAL DROUGHT MONITORING USING GEO-INFORMATICS TECHNOLOGY: A CASE STUDY OF SURENDRANAGAR DISTRICT, GUJARAT." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 11 (2018): 126–36. https://doi.org/10.5281/zenodo.1493912.

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Drought is the most complex but least understood of all natural hazards. It is broadly defined as “sever water shortage”. In recent years, Geographic Information System (GIS) and Remote Sensing (RS) have played a key role in studying different types if hazards either natural or man-made. This study stresses upon the use of RS and GIS in the field of Drought Risk assessment. Various drought indices were computed using Landsat 7 data of February 2000, Landsat 4-5 TM data of February 2009 and Landsat-8 OLI & TIRS data of February 2018 as well as meteorological data for drought sev

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25

Arekhi, Maliheh, Cigdem Goksel, Fusun Balik Sanli, and Gizem Senel. "Comparative Evaluation of the Spectral and Spatial Consistency of Sentinel-2 and Landsat-8 OLI Data for Igneada Longos Forest." ISPRS International Journal of Geo-Information 8, no. 2 (2019): 56. http://dx.doi.org/10.3390/ijgi8020056.

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This study aims to test the spectral and spatial consistency of Sentinel-2 and Landsat-8 OLI data for the potential of monitoring longos forests for four seasons in Igneada, Turkey. Vegetation indices, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI), were generated for the study area in addition to the five corresponding bands of Sentinel-2 and Landsat-8 OLI Images. Although the spectral consistency of the data was interpreted by cross-calibration analysis using the Pearson correlation coefficient, spatial co

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26

Kulkarni, Rushikesh, Kanchan Khare, and Humera Khanum. "Detecting, extracting, and mapping of inland surface water using Landsat 8 Operational Land Imager: A case study of Pune district, India." F1000Research 11 (July 11, 2022): 774. http://dx.doi.org/10.12688/f1000research.121740.1.

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Background: Recent developments in optical satellite remote sensing have led to a new era in the detection of surface water with its changing dynamics. This study presents the creation of surface water inventory for a part of Pune district (an administrative area), in India using the Landsat 8 Operational Land Imager (OLI) and a multi spectral water indices method. Methods: A total of 13 Landsat 8 OLI cloud free images were analyzed for surface water detection. Modified Normalized Difference Water Index (MNDWI) spectral index method was employed to enhance the water pixels in the image. Water

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27

Nasiłowska, Sylwia A., Jan Kotlarz, Mariusz Kacprzak, Alicja Rynkiewicz, Karol Rotchimmel, and Katarzyna Kubiak. "The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images." Forest Research Papers 80, no. 1 (2019): 55–68. http://dx.doi.org/10.2478/frp-2019-0005.

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Abstract The main aim of this research was to determine the impact of drought (in 2015) on forests stand condition using remote sensing and statistical techniques. The study was based on the analysis of vegetation indices calculated from a series of Landsat-8 OLI satellite images covering the 2014 and 2015 growing seasons. Various tree biophysical and physical parameters as well as forest habitat characteristics were tested in order to find the most significant factors affecting drought resistance. Three approaches were used: (i) index differences, (ii) PCA analysis, and (iii) ANOVA statistica

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28

Francisco, Cristiane Nunes, Paulo Roberto da Silva Ruiz, Cláudia Maria de Almeida, Nina Cardoso Gruber, and Camila Souza dos Anjos. "ANÁLISE DO IMPACTO DA CORREÇÃO ATMOSFÉRICA NO CÁLCULO DO ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA A PARTIR DE IMAGEM LANDSAT 8/OLI." Revista Brasileira de Geografia Física 13, no. 1 (2020): 076. http://dx.doi.org/10.26848/rbgf.v13.1.p076-086.

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As operações aritméticas efetuadas entre bandas espectrais de imagens de sensoriamento remoto necessitam de correção atmosférica para eliminar os efeitos atmosféricos na resposta espectral dos alvos, pois os números digitais não apresentam escala equivalente em todas as bandas. Índices de vegetação, calculados com base em operações aritméticas, além de caracterizarem a vegetação, minimizam os efeitos da iluminação da cena causados pela topografia. Com o objetivo de analisar a eficácia da correção atmosférica no cálculo de índices de vegetação, este trabalho comparou os Índices de Vegetação por

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Bhatnagar, Saheba, Bidisha Ghosh, Shane Regan, Owen Naughton, Paul Johnston, and Laurence Gill. "Monitoring environmental supporting conditions of a raised bog using remote sensing techniques." Proceedings of the International Association of Hydrological Sciences 380 (December 18, 2018): 9–15. http://dx.doi.org/10.5194/piahs-380-9-2018.

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Abstract. Conventional methods of monitoring wetlands and detecting changes over time can be time-consuming and costly. Inaccessibility and remoteness of many wetlands is also a limiting factor. Hence, there is a growing recognition of remote sensing techniques as a viable and cost-effective alternative to field-based ecosystem monitoring. Wetlands encompass a diverse array of habitats, for example, fens, bogs, marshes, and swamps. In this study, we concentrate on a natural wetland – Clara Bog, Co. Offaly, a raised bog situated in the Irish midlands. The aim of the study is to identify and mon

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Nie, Yan, Ying Tan, Yuqin Deng, and Jing Yu. "Suitability Evaluation of Typical Drought Index in Soil Moisture Retrieval and Monitoring Based on Optical Images." Remote Sensing 12, no. 16 (2020): 2587. http://dx.doi.org/10.3390/rs12162587.

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As a basic agricultural parameter in the formation, transformation, and consumption of surface water resources, soil moisture has a very important influence on the vegetation growth, agricultural production, and healthy operation of regional ecosystems. The Aksu river basin is a typical semi-arid agricultural area which seasonally suffers from water shortage. Due to the lack of knowledge on soil moisture change, the water management and decision-making processes have been a difficult issue for local government. Therefore, soil moisture monitoring by remote sensing became a reasonable way to sc

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Borfecchia, Flavio, Paola Crinò, Angelo Correnti, et al. "Assessing the Impact of Water Salinization Stress on Biomass Yield of Cardoon Bio-Energetic Crops through Remote Sensing Techniques." Resources 9, no. 10 (2020): 124. http://dx.doi.org/10.3390/resources9100124.

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Various species of cultivated thistle, such as Cynara cardunculus L. (cardoon), exhibit interesting features for industrial biomass production as bioenergy crops, given also their advantageous adaptation capacities to typical Mediterranean climate trends, with noticeable resilience to drought and salinization stresses. The in situ hyperspectral reflectance responses of three genotypes of cardoon plants, irrigated with water at different salinity levels, have been tested for assessing the effects on their biophysical parameters, aiming at improving the biomass yield for bioenergy production, mi

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Singh, Sunita, and Praveen Kumar Rai. "Application of Earth Observation Data for Estimation of Changes in Land Trajectories in Varanasi District, India." Journal of Landscape Ecology 11, no. 1 (2018): 5–18. http://dx.doi.org/10.1515/jlecol-2017-0017.

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Abstract Digital change detection is the process that helps in shaping the changes associated with land use land cover (LULC) properties with reference to geo-registered multi-temporal remote sensing data. In this study different methods of analyzing satellite images are presented, with the aim to identify changes in land cover in a certain period of time (1980-2016). The methods represented in this study are vegetation indices, image differencing and supervised classification. These methods gave different results in terms of land cover area. Urban expansion has brought serious losses of agric

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Mishra, Rajat, and Yogesh Patel. "Drought Analysis in Right Bank Main Canal Command Area of Dharoi Reservoir using Meteorological and Remote Sensing Indices." ITM Web of Conferences 65 (2024): 02002. http://dx.doi.org/10.1051/itmconf/20246502002.

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Drought is characterized by a prolonged and abnormal lack of moisture, often stemming from insufficient or uneven distribution of precipitation, resulting in water shortages in streams or reservoirs, with detrimental impacts on both natural and socioeconomic systems. The paper focuses on the climatic drought patterns within the Right Bank Main Canal Command Area of Gujarat’s Dharoi Reservoir. To evaluate drought conditions, the study employs several indices including the Standardized Precipitation Index (SPI)and Normalized Difference Vegetation Index (NDVI). Daily rainfall data, obtained from

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Balogun, Abdul-Lateef, Shamsudeen Temitope Yekeen, Biswajeet Pradhan, and Omar F. Althuwaynee. "Spatio-Temporal Analysis of Oil Spill Impact and Recovery Pattern of Coastal Vegetation and Wetland Using Multispectral Satellite Landsat 8-OLI Imagery and Machine Learning Models." Remote Sensing 12, no. 7 (2020): 1225. http://dx.doi.org/10.3390/rs12071225.

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Oil spills are a global phenomenon with impacts that cut across socio-economic, health, and environmental dimensions of the coastal ecosystem. However, comprehensive assessment of oil spill impacts and selection of appropriate remediation approaches have been restricted due to reliance on laboratory experiments which offer limited area coverage and classification accuracy. Thus, this study utilizes multispectral Landsat 8-OLI remote sensing imagery and machine learning models to assess the impacts of oil spills on coastal vegetation and wetland and monitor the recovery pattern of polluted vege

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De Albuquerque Lins Leonardo, Haylla Rebeka, Camila Oliveira de Britto Salgueiro, Débora Natália Oliveira de Almeida, Sylvana Melo dos Santos, and Leidjane Maria Maciel de Oliveira. "Sensoriamento Remoto Aplicado na Geoespacialização do Reservatório Poço da Cruz - PE e seu Entorno." Revista Brasileira de Geografia Física 14, no. 6 (2021): 3592. http://dx.doi.org/10.26848/rbgf.v14.6.p3614-3629.

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O Sertão Pernambucano é caracterizado por longos períodos de secas, com um regime pluviométrico inconstante e irregular, dificultando o desenvolvimento socioeconômico da região. Neste contexto a aplicação de técnica de Sensoriamento Remoto utilizando de imagens georreferenciadas destaca-se pela relevância no monitoramento e análise da variação da cobertura vegetal e do suprimento hídrico nos reservatórios da região. Este estudo objetivou-se em avaliar as variações temporais geoespacializadas do uso e ocupação do solo, vegetação e área superficial do espelho d’água do reservatório de Poço da Cr

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Sathianarayanan, M. "ASSESSMENT OF SURFACE WATER DYNAMICS USING MULTIPLE WATER INDICES AROUND ADAMA WOREDA, ETHIOPIA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 15, 2018): 181–88. http://dx.doi.org/10.5194/isprs-annals-iv-5-181-2018.

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<p><strong>Abstract.</strong> Rapid change of Adama wereda during the last three decades has posed a serious threat to the existence of ecological systems, specifically water bodies which play a crucial part in supporting life. Role of Satellite images in Remote Sensing could be more important in investigation, monitoring dynamically and planning of natural surface water resources. Landsat-5(TM) &amp;amp; Landsat 8 (OLI) has high spatial, temporal and multispectral resolution and therefore provides consistent and perfect data to detect changes in surface changes of water

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Șerban, Cristina, Carmen Maftei, and Gabriel Dobrică. "Surface Water Change Detection via Water Indices and Predictive Modeling Using Remote Sensing Imagery: A Case Study of Nuntasi-Tuzla Lake, Romania." Water 14, no. 4 (2022): 556. http://dx.doi.org/10.3390/w14040556.

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Water body feature extraction using a remote sensing technique represents an important tool in the investigation of water resources and hydrological drought assessment. Nuntasi-Tuzla Lake, a component of the Danube Delta Natural Reserve, is located on the Romanian Black Sea littoral. On account of an event in summer 2020, when the lake surface water decreased significantly, this study aims to identify the variation of the Nuntasi-Tuzla Lake surface water over a long-term period in correlation with human intervention and climate change. To this end, it provides an analysis in the period 1965–20

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M. Muneer, M. A. Sial, M. Mohsin, I. Younes, M. Saeed, and A. Rehman. "Spatiotemporal Impact Assessment of Water Logging and Salinity on Crops Yield (2009-2019): A Case Study of Tehsil Shorkot, District Jhang, Pakistan." Pakistan Journal of Science 76, no. 03 (2024): 481–91. https://doi.org/10.57041/vol76iss03pp481-491.

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Agricultural practices are tremendously affected by the water logging and salinity worldwide particularly in agrarian developing countries like Pakistan. The main objective of this research was to highlight the impact of water logging and salinity on the production of the selected crops in Tehsil Shorkot, District Jhang from 2009-2019. The study utilized the remote sensing data of Landsat 5 TM, October 2009 and Landsat 8 OLI, October 2019 at 30 meters spatial resolution derived from USGS website freely. In present research, various spectral indices were examined from the reflectance bands of t

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ZATSERKOVNYI, Vitalii, Mauro DE DONATIS, Liudmyla PLICHKO, Stanislav SAKHNIUK, Natalia ODARCHUK, and Tetiana MIRONCHUK. "USING REMOTE SENSING TECHNOLOGIES FOR MONITORING URBAN HEAT ISLANDS." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 3 (106) (2024): 99–106. http://dx.doi.org/10.17721/1728-2713.106.13.

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Background. The urbanization process is accelerating every day, which entails significant changes in the natural landscape. This leads to microclimatic changes, air pollution, thermal effect, etc. Due to air pollution by man-made emissions in urbanized areas, the thermal regime is changing; the concentration of carbon dioxide and water vapor has now reached 90 % of the total amount of pollutants. As a result, another problem arises that contributes to global warming – the "greenhouse effect". Elevated air temperatures affect human health leading to breathing problems, seizures, heat and sunstr

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Jiwen, Liu, Xue Linfu, and Li Zhongtan. "Study on the spatiotemporal changes and impact of reclamation areas based on remote sensing." E3S Web of Conferences 165 (2020): 03053. http://dx.doi.org/10.1051/e3sconf/202016503053.

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Using Landsat TM and OLI multispectral image data, the accuracy of extracting sea area from different water body indices is compared. Finally, the improved normalized water body index (MNDWI) is selected to study the dynamic characteristics of the coastline and the progress of reclamation of Dalian in 1996, 2005, and 2015. The results show that: from 1996 to 2005, the area of land reclamation in Dalian reached 31.58km2, and 83.55km2 for 2015-2015. It is mainly used for dock construction, industrial land, aquaculture ponds, port docks, construction sites, residents Land, commercial and financia

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Henry, Mary C., and John K. Maingi. "Evaluating Landsat- and Sentinel-2-Derived Burn Indices to Map Burn Scars in Chyulu Hills, Kenya." Fire 7, no. 12 (2024): 472. https://doi.org/10.3390/fire7120472.

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Chyulu Hills, Kenya, serves as one of the region’s water towers by supplying groundwater to surrounding streams and springs in southern Kenya. In a semiarid region, this water is crucial to the survival of local people, farms, and wildlife. The Chyulu Hills is also very prone to fires, and large areas of the range burn each year during the dry season. Currently, there are no detailed fire records or burn scar maps to track the burn history. Mapping burn scars using remote sensing is a cost-effective approach to monitor fire activity over time. However, it is not clear whether spectral burn ind

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Liu, Pengfei, Weiyu Zhuang, Weili Kou, Leiguang Wang, Qiuhua Wang, and Zhongjian Deng. "Fire Severity Outperforms Remote Sensing Indices in Exploring Post-Fire Vegetation Recovery Dynamics in Complex Plateau Mountainous Regions." Forests 16, no. 2 (2025): 263. https://doi.org/10.3390/f16020263.

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Understanding post-fire vegetation recovery dynamics is crucial for damage assessment and recovery planning, yet spatiotemporal patterns in complex plateau environments remain poorly understood. This study addresses this gap by focusing on Yunnan Province, a mountainous plateau region with high fire incidence. We developed an innovative approach combining differenced Normalized Burn Ratio (dNBR) and visual interpretation on Google Earth Engine (GEE) to generate high-quality training samples from Landsat 5 TM/7 ETM+/8 OLI imagery. Four supervised machine learning algorithms were evaluated, with

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Liu, Yu, Wenqing Li, Li Li, and Naiqun Zhang. "Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery." Computational Intelligence and Neuroscience 2022 (May 30, 2022): 1–8. http://dx.doi.org/10.1155/2022/3901372.

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Extracting vegetation cover information by combining multisource satellite images can improve the time scale of vegetation cover monitoring, realize encrypted observation in short period, and shorten the regional vegetation remote sensing monitoring cycle. The NDVI and RVI datasets from 2007–2019 were extracted using 9 phases of multisource satellite images (Landsat TM/OLI, Sentinel-2 MSI, and GF-1 PMS) covering Xiaxi, Sichuan. Three typical validation sites representing higher vegetation cover in mountains and no vegetation cover in water bodies in the region, respectively, were selected to e

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Francis, Emeka Egobueze, Desmond Rowland Eteh, and Silver Ebizimo Debekeme. "Multispectral imagery for detection and monitoring of vegetation affected by oil spills and migration pattern in Niger Delta Region, Nigeria." World Journal of Advanced Research and Reviews 15, no. 1 (2022): 447–58. https://doi.org/10.5281/zenodo.7745037.

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Oil spills in the Niger Delta area can be detected and monitored using this novel technique. Landsat 5 and 8 images were used to assess various vegetation stress, such as Normalized Difference Vegetation Index, Soil Adjusted Vegetation Index, Atmospheric Resistant Vegetation Index, Green Near Infrared and Green Short-wave Infrared, from the spill site in 2019, non-spill site (1992 pre-oil spill) and 2020 post-oil spill events, respectively. There is a substantial difference (p-value <0.005) in the vegetation conditions at the Spill Site and the non-spill Site in 2020 in terms of NDWI, SAVI,

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Kunah, O. M., and O. S. Papka. "Ecogeographical determinants of the ecological niche of the common milkweed (Asclepias syriaca) on the basis of indices of remote sensing of land images." Biosystems Diversity 24, no. 1 (2016): 78–86. http://dx.doi.org/10.15421/011609.

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The patterns of variation in vegetative indices received by means of data of remote land sensing are described as being dependant on geomorphological predictors and the sizes of agricultural fields in an experimental polygon within Poltava region. The possibilities of application of vegetative indices have been explored through ecogeographical determinants of the ecological niche of the common milkweed (Asclepias syriaca L.) and other weeds. On the basis of images of the land surface taken on 23 March and 27 August 2015 by the sensor control Operational Land Imager (OLI), installed on the sate

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Sena, Carolina Carvalho Rocha, José Alves Júnior, João Mauricio Fernandes Souza, et al. "Remote sensing in the estimation of evapotranspiration of tomato cultivation for industrial processing." Bioscience Journal 41 (February 12, 2025): e41002. https://doi.org/10.14393/bj-v41n0a2025-70757.

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This study evaluated the performance of the SAFER and METRIC algorithms to estimate the actual evapotranspiration (ETa) of irrigated tomato crops for industrial processing in the south-central region of Goiás, Brazil. The research was conducted in eight tomato-producing areas using center-pivot irrigation during the 2018 and 2019 harvests. Landsat 8 OLI/TIRS satellite images (temporal resolution of 16 days) helped estimate ETa through the SAFER e METRIC models compared with FAO methods, using the single crop coefficient (Kc) of the FAO-56/Embrapa and the soil water balance (BHS) method based o

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Ezeomedo, Amaka P., Nwabueze I. Igu, Innocent C. Ezeomedo, and Esomchukwu C. Igbokwe. "Landuse and Landcover Mapping to Assess Forest Ecosystem Change in Ihiala Lga, Southeastern Nigeria." International Journal of Research and Scientific Innovation XI, no. VIII (2024): 1083–94. http://dx.doi.org/10.51244/ijrsi.2024.1108084.

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The result of landuse and landcover (LULC) change detection indices is very useful for natural resource monitoring and landuse management. Hence, this study aimed at assessing the forest ecosystem variation of Ihiala Local Government Area (LGA), southeastern Nigeria using remote sensing technique. The major source of the data were the LANDSAT-TM (1987), LANDSAT-7ETM (2003), LANDSAT OLI-TIRS (2015) and LANDSAT-8 (2022) satellite imageries that were acquired online from the website of U.S. Geological Survey. The research methodology was purely remote sensing analysis of the satellite imageries o

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Le, Mai Son, and Yuei-An Liou. "Spatio-Temporal Assessment of Surface Moisture and Evapotranspiration Variability Using Remote Sensing Techniques." Remote Sensing 13, no. 9 (2021): 1667. http://dx.doi.org/10.3390/rs13091667.

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The relationship between the physic features of the Earth’s surface and its temperature has been significantly investigated for further soil moisture assessment. In this study, the spatiotemporal impacts of surface properties on land surface temperature (LST) were examined by using Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) and meteorological data. The significant distinctions were observed during a crop growing season through the contrast in the correlation between different multi-spectral satellite indices and LST, in which the highest correlation of −0.65 was

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Kolanuvada, Srinivasa Raju, and Sivkumar S. "Assessing Adverse Impacts of Aquaculture Activities on Groundwater Quality in Ponneri Taluk of Tiruvallur District, Tamilnadu using Drinking Water Quality Index." Research Journal of Chemistry and Environment 27, no. 2 (2023): 73–80. http://dx.doi.org/10.25303/2702rjce073080.

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Tamilnadu is a State that is deprived of perennial water sources like major rivers and streams. Agricultural activities in Tamilnadu are mainly dependent on seasonal rainfall and ground water. The shortages of water resources drive many coastal farmers to convert their fertile agricultural lands to aquaculture. Groundwater suitability for human consumption is determined by its physical, chemical and bacteriological properties. Irrational conversion of agricultural lands to aquaculture is found to be unsustainable leading to wastage of sparse natural resource fertile land and groundwater. The a

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Gouveia, José Rafael Ferreira de, and Cristina Rodrigues Nascimento. "Uso e Cobertura do Solo após Eventos de Queimadas no Município de Floresta em Pernambuco." Revista Brasileira de Geografia Física 15, no. 6 (2022): 3121–35. http://dx.doi.org/10.26848/rbgf.v15.6.p3121-3135.

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Fires are recurrent in Brazil to clean up and increase territories. Temporal analyzes on the subject show that the municipality of Floresta in Pernambuco stands out in the number of cases in the month of November 2019. This article aims to collect and quantify the incidence of hotspots and burned areas in the aforementioned region and month, in addition to of land use and cover conditions based on remote sensing techniques. Information from the Pernambuco Water and Climate Agency (APAC) was used for climatology. The databases of the Burning Database were used to collect and quantify hotspots.

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