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Journal articles on the topic 'Remote sensing indicators'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Wu, Y., and A. Li. "RESEARCH ON VALIDITY MEASUREMENT OF MEGACITIES RENEWAL POLICIES AND SUITABILITY SCALE FOR URBAN REMOTE SENSING DATA APPLICATIONS: TAKING BEIJING’S DUAL CONTROL POLICY AS AN EXAMPLE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-3/W2-2022 (October 27, 2022): 59–64. http://dx.doi.org/10.5194/isprs-annals-x-3-w2-2022-59-2022.

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Abstract. Urban renewal has become the application hotspot of urban remote sensing development in recent years. However, scientific distribution of weight relationship between indicators reflecting progress and effectiveness of different urban renewal goals and tasks, and comprehensive evaluation of effectiveness of policies in the existing indicator system require further in-depth research. In particular, there is no clear standard for application caliber of remote sensing data of different cities in spatial indicators. Taking Beijing’s dual control policy as an example, this paper measures e

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Sari, Nurwita Mustika, Dwi Nowo Martono, Raldi Hendrotoro Seputro Koestoer, and Dony Kushardono. "Remote Sensing-Based Urban Environmental Quality Indicators: A Review." Journal of Multidisciplinary Applied Natural Science 5, no. 1 (2025): 228–42. https://doi.org/10.47352/jmans.2774-3047.243.

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Most of the global population lives in urban areas, which also serve as hubs of economy, industry, and government activities. Various factors that affect the quality of cities have been studied in different locations. This article reviews various papers that examine environmental quality indicators in urban areas that can be extracted from remote sensing data. The first aspect is vegetation cover, which is known from the vegetation index normalized difference vegetation index (NVDI), and the second aspect is surface temperature, which is known from land surface temperature (LST). In this work,

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Areal, Francisco J., Wantao Yu, Kevin Tansey, and Jiahuan Liu. "Measuring Sustainable Intensification Using Satellite Remote Sensing Data." Sustainability 14, no. 3 (2022): 1832. http://dx.doi.org/10.3390/su14031832.

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Farm-level sustainable intensification metrics are needed to evaluate farm performance and support policy-making processes aimed at enhancing sustainable production. Farm-level sustainable intensification metrics require environmental impacts associated with agricultural production to be accounted for. However, it is common that such indicators are not available. We show how satellite-based remote sensing information can be used in combination with farm efficiency analysis to obtain a sustainable intensification (SI) indicator, which can serve as a sustainability benchmarking tool for farmers

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Dorbu, Freda Elikem, Leila Hashemi-Beni, Ali Karimoddini, and Abolghasem Shahbazi. "UAV Remote Sensing Assessment of Crop Growth." Photogrammetric Engineering & Remote Sensing 87, no. 12 (2021): 891–99. http://dx.doi.org/10.14358/pers.21-00060r2.

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The introduction of unmanned-aerial-vehicle remote sensing for collecting high-spatial- and temporal-resolution imagery to derive crop-growth indicators and analyze and present timely results could potentially improve the management of agricultural businesses and enable farmers to apply appropriate solution, leading to a better food-security framework. This study aimed to analyze crop-growth indicators such as the normalized difference vegetation index (NDVI), crop height, and vegetated surface roughness to determine the growth of corn crops from planting to harvest. Digital elevation models a

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Yagoub, M. M., N. Al Hosani, A. Alshehhi, S. Aldhanhani, and S. Albedwawi. "REMOTE SENSING AND GIS FOR FOOD BANKS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W3-2022 (October 14, 2022): 293–99. http://dx.doi.org/10.5194/isprs-annals-x-4-w3-2022-293-2022.

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Abstract. Food banks play an important role in sustainability (saving food-reducing waste), economy, and social cohesion. Investment in food banks supports compassion, generosity, solidarity, and hospitality. The objective of this study is to demonstrate how remote sensing and geographic information system (GIS) could be used to address social and environmental problems such as food banks. In many cases data about socioeconomic is gathered using sample qualitative surveys/interviews and this lacks spatial reference. Moreover, even this data may not be available for researchers in the same way

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Kuffer, Monika, Karin Pfeffer, and Claudio Persello. "Special Issue “Remote-Sensing-Based Urban Planning Indicators”." Remote Sensing 13, no. 7 (2021): 1264. http://dx.doi.org/10.3390/rs13071264.

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KLEMAS, VICTOR V. "Remote Sensing of Landscape-Level Coastal Environmental Indicators." Environmental Management 27, no. 1 (2001): 47–57. http://dx.doi.org/10.1007/s002670010133.

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Wei, YE, and SONG Wei. "Quantitative remote sensing monitoring of water quality in Bohai Bay based on Landsat multispectral data." E3S Web of Conferences 206 (2020): 03007. http://dx.doi.org/10.1051/e3sconf/202020603007.

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In this paper, through the principal component analysis of water quality survey data of Bohai Bay in 2006, 2009 and 2013, the main pollutant was selected, and the quasi-simultaneous Landsat multispectral remote sensing data are regressed to establish the quantitative inversion model of the sensitive band and the main pollutants in seawater. The accuracy of the model is determined to meet the requirements of quantitative inversion of water quality remote sensing through the significance test method of accuracy assessment, providing a basis for future multispectral remote sensing monitoring of w

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Wang, Ruozeng, Yonghua Sun, Jinkun Zong, et al. "Remote Sensing Application in Ecological Restoration Monitoring: A Systematic Review." Remote Sensing 16, no. 12 (2024): 2204. http://dx.doi.org/10.3390/rs16122204.

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In the context of the continuous degradation of the global environment, ecological restoration has become a primary task in global environmental governance. In this process, remote sensing technology, as an advanced monitoring and analysis tool, plays a key role in monitoring ecological restoration. This article reviews the application of remote sensing technology in ecological restoration monitoring. Based on a comprehensive analysis of the literature in the field of ecological remote sensing, it systematically summarizes the major in-orbit spaceborne and airborne sensors and their related pr

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Zhao, Lili, Xuncheng Fan, and Shihong Xiao. "Remote-Sensing Indicators and Methods for Coastal-Ecosystem Health Assessment: A Review of Progress, Challenges, and Future Directions." Water 17, no. 13 (2025): 1971. https://doi.org/10.3390/w17131971.

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This paper systematically reviews the progress of remote-sensing technology in coastal-ecosystem health assessment. Coastal ecosystems, as transitional zones between land and ocean, play vital roles in maintaining biodiversity, carbon sequestration, and coastal protection, but currently face severe challenges from climate change and human activities. Remote-sensing technology, with its capability for large-scale, long time-series observations, has become a key tool for coastal-ecosystem health assessment. This paper analyzes the technical characteristics and advantages of optical remote sensin

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Taubenböck, H., J. Post, A. Roth, K. Zosseder, G. Strunz, and S. Dech. "A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing." Natural Hazards and Earth System Sciences 8, no. 3 (2008): 409–20. http://dx.doi.org/10.5194/nhess-8-409-2008.

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Abstract. This study aims at creating a holistic conceptual approach systematizing the interrelation of (natural) hazards, vulnerability and risk. A general hierarchical risk meta-framework presents potentially affected components of a given system, such as its physical, demographic, social, economic, political or ecological spheres, depending on the particular hazard. Based on this general meta-framework, measurable indicators are specified for the system "urban area" as an example. This framework is used as an outline to identify the capabilities of remote sensing to contribute to the assess

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Lei, Ming, and Yunfeng Dong. "Multi-Granularity Modeling Method for Effectiveness Evaluation of Remote Sensing Satellites." Remote Sensing 15, no. 17 (2023): 4335. http://dx.doi.org/10.3390/rs15174335.

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The effectiveness indicator system of remote sensing satellites includes various satellites capabilities. Effectiveness evaluation is the process of calculating these indicators in the digital world, involving many different physical parameters of multiple subsystems. Model-based simulation statistics method is the mainstream approach of effectiveness evaluation, and digital twin is currently the most advanced modeling method for simulation. The satellite digital twin model has the characteristics of multi-dynamic, multi-spatial scale and multi-physics field coupling, which gives rise to chall

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Huang, Huajian, Dasheng Wu, Luming Fang, and Xinyu Zheng. "Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data." Forests 13, no. 9 (2022): 1471. http://dx.doi.org/10.3390/f13091471.

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The forest growing stock is one of the key indicators in monitoring forest resources, and its quantitative estimation is of great significance. Based on multi-source data, including Sentinel-1 radar remote sensing data, Sentinel-2 optical remote sensing data, digital elevation model (DEM), and inventory data for forest management planning and design, the Lasso feature selection method was used to remove the non-significant indicators, and three machine learning algorithms, GBDT, XGBoost, and CatBoost, were used to estimate forest growing stock. In addition, four category features, forest popul

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Berni, J. A. J., P. J. Zarco-Tejada, V. González-Dugo, and E. Fereres. "REMOTE SENSING OF THERMAL WATER STRESS INDICATORS IN PEACH." Acta Horticulturae, no. 962 (October 2012): 325–31. http://dx.doi.org/10.17660/actahortic.2012.962.45.

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Li, Su, Wen Chao Wang, and Lu Wen Li. "Advances on Urban Impervious Surface Extraction Using Remote Sensing Data." Advanced Materials Research 726-731 (August 2013): 4552–57. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4552.

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Urban impervious surface is an artificial surface features of the city, affecting urban surface runoff, the hydrological cycle, water quality, local climate and biodiversity, is one of the important indicators of the modern urbanization and urban ecosystem monitoring. With the development of urban remote sensing, various resolution remote sensing images have been used in urban impervious surface extraction. In this paper, image source remote sensing image classification criteria focus on the application of the various resolution remote sensing image, application methods and applications; summa

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Zhao, Ming, Kai-cheng Hua, Dong Zhang, Dong Ni, Min-min Yuan, and Zhao-ming Wang. "Research on Identification and Supervision of Ecological Background of Subtropical Mountainous Highways Based on Multi-source Data." E3S Web of Conferences 165 (2020): 02021. http://dx.doi.org/10.1051/e3sconf/202016502021.

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Based on the UAV remote sensing method combined with multi-source remote sensing data, the ecological background of the subtropical mountainous area was investigated based on the Huizhou to Qingyuan section of the Shantou-Zhanjiang Expressway. Ecological background evaluation indicators are the theoretical basis to support the analysis and evaluation of this article. The ecological indicators of roads in South China have selected five indicators: vegetation cover index, water environment index, soil erosion index, terrain slope index and land use type index.

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Jin, Eerdoumutu, Jianmin Du, Yuge Bi, Shengli Wang, and Xinchao Gao. "Research on Classification of Grassland Degeneration Indicator Objects Based on UAV Hyperspectral Remote Sensing and 3D_RNet-O Model." Sensors 24, no. 4 (2024): 1114. http://dx.doi.org/10.3390/s24041114.

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Real-time and high-precision land cover classification is the foundation for efficient and quantitative research on grassland degradation using remote sensing techniques. In view of the shortcomings of manual surveying and satellite remote sensing, this study focuses on the identification and classification of grass species indicating grassland degradation. We constructed a UAV-based hyperspectral remote sensing system and collected field data in grassland areas. By applying artificial intelligence technology, we developed a 3D_RNet-O model based on convolutional neural networks, effectively a

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Putrenko, V. V., and N. M. Pashynska. "THE USE OF REMOTE SENSING DATA FOR MODELING AIR QUALITY IN THE CITIES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5/W1 (December 13, 2017): 57–62. http://dx.doi.org/10.5194/isprs-annals-iv-5-w1-57-2017.

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Monitoring of environmental pollution in the cities by the methods of remote sensing of the Earth is actual area of research for sustainable development. Ukraine has a poorly developed network of monitoring stations for air quality, the technical condition of which is deteriorating in recent years. Therefore, the possibility of obtaining data about the condition of air by remote sensing methods is of great importance. The paper considers the possibility of using the data about condition of atmosphere of the project AERONET to assess the air quality in Ukraine. The main pollution indicators wer

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Wu, Xue Wei, Guang Dao Bao, Wei Wei Jia, Chang Zhai, and Xing Li. "Remote Sensing Based Analysis of the Mine Geological Environment Evaluation." Applied Mechanics and Materials 121-126 (October 2011): 2839–44. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2839.

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Mine development can benefit mankind, but also cause ecological damage to the environment; bad influence threatens the lives and safety. Environmental pollution caused by mining is a complex; system changes, no single factor and the instantaneous direction indicators are not given the trend of the entire environmental system. Remote sensing data with regional and cyclical characteristics, using remote sensing technology to monitor the mine environment has a strong advantage, is one of the key people to study. By using time series remote sensing data, extraction mining environment-related indic

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Lausch, Angela, Michael E. Schaepman, Andrew K. Skidmore, et al. "Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics." Remote Sensing 14, no. 9 (2022): 2279. http://dx.doi.org/10.3390/rs14092279.

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Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geom

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Li, Fangjie, Jianqiang Ren, Shangrong Wu, Hongwei Zhao, and Ningdan Zhang. "Comparison of Regional Winter Wheat Mapping Results from Different Similarity Measurement Indicators of NDVI Time Series and Their Optimized Thresholds." Remote Sensing 13, no. 6 (2021): 1162. http://dx.doi.org/10.3390/rs13061162.

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Generally, there is an inconsistency between the total regional crop area that was obtained from remote sensing technology and the official statistical data on crop areas. When performing scale conversion and data aggregation of remote sensing-based crop mapping results from different administrative scales, it is difficult to obtain accurate crop planting area that match crop area statistics well at the corresponding administrative level. This problem affects the application of remote sensing-based crop mapping results. In order to solve the above problem, taking Fucheng County of Hebei Provin

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Jin, Dian. "Application of remote sensing technology in water quality monitoring." Highlights in Science, Engineering and Technology 17 (November 10, 2022): 91–98. http://dx.doi.org/10.54097/hset.v17i.2511.

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Water is the source of life, and water quality is one of the world's significant environmental problems today; the current state of water quality problems is worrying. Traditional water quality monitoring methods usually use buoys to carry sensors or manual sampling for real-time field water quality monitoring. These methods, although the monitoring accuracy is high, are labor-intensive, expensive and time-consuming. Remote sensing technology now occupies an increasingly important position in water quality monitoring because of its low cost, wide range and fast response time. This study introd

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Danilov, Y. G., and Tabriz Mubariz oglu Tahmazov. "On the possibility of determining allometric indicators of trees using satellite remote sensing data." Vestnik of North-Eastern Federal University Series "Earth Sciences", no. 2 (June 24, 2023): 33–40. http://dx.doi.org/10.25587/svfu.2023.30.2.004.

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In recent decades, the rapid development of remote sensing technologies has led to the development of various methods for determining the amount of aboveground biomass from satellite images. Regression equations were constructed linking fild estimates of aboveground biomass and vegetation indices obtained by remote sensing methods. Such studies make it possible not only to promptly monitor the state of vast forests, but also to solve the problem of assessing global carbon stocks on the planet. The purpose of the study is to create the foundations for the development of new methods for determin

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Kovalev, Anton, Olga Tarasova, Vladislav Soukhovolsky, and Yulia Ivanova. "Is It Possible to Predict a Forest Insect Outbreak? Backtesting Using Remote Sensing Data." Forests 15, no. 8 (2024): 1458. http://dx.doi.org/10.3390/f15081458.

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In this study, methods are proposed for analyzing the susceptibility of forest stands to attacks by forest insects on the basis of Earth remote sensing data. As an indicator of the state of forest stands, we proposed to use a parameter of the sensitivity of a vegetation index (normalized difference vegetation index; NDVI) during a vegetative period to changes in the radiative temperature of the territory (land surface temperature; LST) determined from satellite data of the Terra/Aqua system. The indicator was calculated as a spectrum of a response function in an integral equation linking chang

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Momeni, Rahman, Tuba Bircan, Robert King, and Eloy Zafra Santos. "Deciphering climate-induced displacement in Somalia: A remote sensing perspective." PLOS ONE 19, no. 8 (2024): e0304202. http://dx.doi.org/10.1371/journal.pone.0304202.

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Rapid climate changes bear significant consequences on various aspects of our lives, notably by deteriorating living conditions in certain areas to such extent that inhabitants have no choice but flee. Despite recognition of this issue, the dynamics of the relationship between the environmental factors and the human mobility have yet to be thoroughly investigated. This study aims to explore the application of advanced remote sensing analytics for developing detailed climate indicators at a micro (district) level, and to examine the relationship between climate factors and internally displaced

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Wan, Hongqing, Sha Xu, Yali Yang, and Yongfang Li. "Remote Sensing Target Tracking Method Based on Super-Resolution Reconstruction and Hybrid Networks." Journal of Imaging 11, no. 2 (2025): 29. https://doi.org/10.3390/jimaging11020029.

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Remote sensing images have the characteristics of high complexity, being easily distorted, and having large-scale variations. Moreover, the motion of remote sensing targets usually has nonlinear features, and existing target tracking methods based on remote sensing data cannot accurately track remote sensing targets. And obtaining high-resolution images by optimizing algorithms will save a lot of costs. Aiming at the problem of large tracking errors in remote sensing target tracking by current tracking algorithms, this paper proposes a target tracking method combined with a super-resolution hy

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Li, Yinshuai, Chunyan Chang, Zhuoran Wang, Tao Li, Jianwei Li, and Gengxing Zhao. "Identification of Cultivated Land Quality Grade Using Fused Multi-Source Data and Multi-Temporal Crop Remote Sensing Information." Remote Sensing 14, no. 9 (2022): 2109. http://dx.doi.org/10.3390/rs14092109.

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To explore the fast, accurate, and efficient remote sensing identification method of cultivated land quality, this study took Shandong Province as the study area, and used measured data to carry out the soil quality evaluation based on conventional GIS. On this basis, MODIS sequence images were used as remote sensing data sources, and multi-source data such as topography, meteorology, and statistical yearbook were fused. Then, according to the Pressure-State-Response framework, we constructed three kinds of characteristic indicators through distinguishing crop rotation types and fusing remote

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Boldanova, Elena V. "EVALUATION OF THE TROPHIC STATUS OF LAKE BAIKAL USING REMOTE SENSING." Географический вестник = Geographical bulletin, no. 2(61) (2022): 73–89. http://dx.doi.org/10.17072/2079-7877-2022-2-73-89.

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The existing models for assessing the trophicity indicators of water bodies are intended for specific water bodies, and adaptation is required for their use with regard to others. Another problem is the lack of approaches in remote monitoring to the development of an integral indicator of the trophicity of water bodies. The purpose of this study is to develop models for calculating biotic and abiotic indicators for assessing the state of a reservoir, as well as an integral indicator of its trophicity. To achieve this goal, the tasks were set to compare the possibilities of using satellite imag

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Selsam, Peter, Jan Bumberger, Thilo Wellmann, et al. "Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys." Remote Sensing 16, no. 7 (2024): 1139. http://dx.doi.org/10.3390/rs16071139.

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One of the greatest challenges of our time is monitoring the rapid environmental changes taking place worldwide at both local and global scales. This requires easy-to-use and ready-to-implement tools and services to monitor and quantify aspects of bio- and geodiversity change and the impact of land use intensification using freely available and global remotely sensed data, and to derive remotely sensed indicators. Currently, there are no services for quantifying both raster- and vector-based indicators in a “compact tool”. Therefore, the main innovation of ESIS/Imalys is having a remote sensin

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Soubry, Irini, Thuy Doan, Thuan Chu, and Xulin Guo. "A Systematic Review on the Integration of Remote Sensing and GIS to Forest and Grassland Ecosystem Health Attributes, Indicators, and Measures." Remote Sensing 13, no. 16 (2021): 3262. http://dx.doi.org/10.3390/rs13163262.

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It is important to protect forest and grassland ecosystems because they are ecologically rich and provide numerous ecosystem services. Upscaling monitoring from local to global scale is imperative in reaching this goal. The SDG Agenda does not include indicators that directly quantify ecosystem health. Remote sensing and Geographic Information Systems (GIS) can bridge the gap for large-scale ecosystem health assessment. We systematically reviewed field-based and remote-based measures of ecosystem health for forests and grasslands, identified the most important ones and provided an overview on

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Maeda, Eduardo Eiji, Janne Heiskanen, Koen W. Thijs, and Petri K. E. Pellikka. "Season-dependence of remote sensing indicators of tree species diversity." Remote Sensing Letters 5, no. 5 (2014): 404–12. http://dx.doi.org/10.1080/2150704x.2014.912767.

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Platt, Trevor, George N. White, Li Zhai, Shubha Sathyendranath, and Shovonlal Roy. "The phenology of phytoplankton blooms: Ecosystem indicators from remote sensing." Ecological Modelling 220, no. 21 (2009): 3057–69. http://dx.doi.org/10.1016/j.ecolmodel.2008.11.022.

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Matyunin, Georgy, Svetlana Ogorodnikova, Ekaterina Murmantseva, Vladislav Rozanov, and Ruslan Palyga. "Assessment of soil fertility indicators based on remote sensing data." BIO Web of Conferences 113 (2024): 04013. http://dx.doi.org/10.1051/bioconf/202411304013.

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The article discusses the possibility of using artificial intelligence and machine learning methods to predict soil fertility based on remote sensing data. The research object was 70 soil samples taken in the village of Vshchizh, Bryansk region. Multispectral imaging of the earth's surface from the Sentinel-2 satellite was also used to assess the soil condition. The study in this article is based on the indicators of humus (%), P2O5 (mg/kg), and K2O (mg/kg). The prediction is done using a neural network model based on the Rosenblatt perceptron. Data analysis is conducted using the statistical

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Ding, Qi, Song Liu, and Jiantao Wang. "Railway Remote Sensing Image Segmentation Technology in Big Data-oriented Urban Rail Transit Safety Evaluation System." Advances in Engineering Technology Research 8, no. 1 (2023): 710. http://dx.doi.org/10.56028/aetr.8.1.710.2023.

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This paper discusses the application of satellite remote sensing images in urban rail transit safety evaluation. First of all, the article expounds the significance of satellite remote sensing images in the rail transit safety evaluation system, which can provide the overall information of the rail transit network, be used for traffic flow analysis, land use monitoring, etc., and provide a basis for planning decision-making. Then, the article introduces the application of artificial intelligence technology in the segmentation of railway remote sensing images. The deep learning model can realiz

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Muhaimin, M., D. Arisanty, S. Adyatma, A. N. Saputra, and J. Jumriani. "Utilization of Landsat 8 Oli Tirs for Environmental Quality Spatial Modeling." IOP Conference Series: Earth and Environmental Science 1421, no. 1 (2024): 012010. https://doi.org/10.1088/1755-1315/1421/1/012010.

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Abstract The escalating human activities are precipitating substantial disruption of global ecosystems on various scales. The demand for effective techniques to measure, detect, and analyze ecological change is mounting in this context. Remote sensing technology is gaining prominence as a substitute for field measurements of spatial changes in environmental conditions. This research enhances the new remote sensing-based ecology index using spatial data from Landsat 8 Oli satellite imagery. The satellite image 2023 in the Riam Kanan area, South Kalimantan Province—data analysis using remote sen

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Ni, Mengying, Qingquan Wu, Guiying Li, and Dengqiu Li. "Remote Sensing Technology for Observing Tree Mortality and Its Influences on Carbon–Water Dynamics." Forests 16, no. 2 (2025): 194. https://doi.org/10.3390/f16020194.

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Trees are indispensable to ecosystems, yet mortality rates have been increasing due to the abnormal changes in forest growth environments caused by frequent extreme weather events associated with global climate warming. Consequently, the need to monitor, assess, and predict tree mortality has become increasingly urgent to better address climate change and protect forest ecosystems. Over the past few decades, remote sensing has been widely applied to vegetation mortality observation due to its significant advantages. Here, we reviewed and analyzed the major research advancements in the applicat

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Hurin, Artem, Hennadii Khudov, Oleksandr Kostyria, Oleh Maslenko, and Serhii Siadrystyi. "COMPARATIVE ANALYSIS OF SPECTRAL ANOMALIES DETECTION METHODS ON IMAGES FROM ON-BOARD REMOTE SENSING SYSTEMS." Advanced Information Systems 8, no. 2 (2024): 48–57. http://dx.doi.org/10.20998/2522-9052.2024.2.06.

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The subject matter of the article is methods of detecting spectral anomalies on images from remote sensing systems. The goal is to conduct a comparative analysis of methods for detecting spectral anomalies on images from remote sensing systems. The tasks are: analysis of the main methods of detecting spectral anomalies on images from remote sensing systems; processing of images from remote sensing systems using basic methods of detecting spectral anomalies; comparative assessment of the quality of methods for detecting spectral anomalies on images from remote monitoring systems. The methods us

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Liu, Tianjiao, and Jiankui Chen. "Study on Rice Phenological Differences under Heavy Metal Stress by Using Multi-source Remote Sensing Time-Series Images." Journal of Physics: Conference Series 2463, no. 1 (2023): 012070. http://dx.doi.org/10.1088/1742-6596/2463/1/012070.

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Abstract Heavy metal pollution is surveyed rapidly and accurately, which is of great significance for soil pollution control. heavy metal pollution on farmland results in phenological changes, and we can use remote sensing technology to observe these changes. In the paper, Normalized Difference Vegetation Index (NDVI) time-series is built based on multi-source remote sensing images. Savitzky-Golay filter (S-G filter) was applied for denoising and reconstructing the time series. NDVI time series were used to calculate phenological indicators. Five phenological indicators were selected, which in

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Bouman, B. A. M. "Crop modelling and remote sensing for yield prediction." Netherlands Journal of Agricultural Science 43, no. 2 (1995): 143–61. http://dx.doi.org/10.18174/njas.v43i2.573.

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Methods for the application of crop growth models, remote sensing and their integrative use for yield forecasting and prediction are presented. First, the general principles of crop growth models are explained. When crop simulation models are used on regional scales, uncertainty and spatial variation in model parameters can result in broad bands of simulated yield. Remote sensing can be used to reduce some of this uncertainty. With optical remote sensing, standard relations between the Weighted Difference Vegetation Index and fraction ground cover and LAI were established for a number of crops

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Yu, Tao, Pengju Liu, Qiang Zhang, Yi Ren, and Jingning Yao. "Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-Scale Satellite Images." Remote Sensing 13, no. 6 (2021): 1131. http://dx.doi.org/10.3390/rs13061131.

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Detecting forest degradation from satellite observation data is of great significance in revealing the process of decreasing forest quality and giving a better understanding of regional or global carbon emissions and their feedbacks with climate changes. In this paper, a quick and applicable approach was developed for monitoring forest degradation in the Three-North Forest Shelterbelt in China from multi-scale remote sensing data. Firstly, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Ratio Vegetation Index (RVI), Leaf Area Index (LAI), Fraction of Photosynthe

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Gautam, Deepak, and Vinay Pagay. "A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops." Agronomy 10, no. 1 (2020): 140. http://dx.doi.org/10.3390/agronomy10010140.

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With increasingly advanced remote sensing systems, more accurate retrievals of crop water status are being made at the individual crop level to aid in precision irrigation. This paper summarises the use of remote sensing for the estimation of water status in horticultural crops. The remote measurements of the water potential, soil moisture, evapotranspiration, canopy 3D structure, and vigour for water status estimation are presented in this comprehensive review. These parameters directly or indirectly provide estimates of crop water status, which is critically important for irrigation manageme

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Kabzhanova, G. R., A. Zh Kurmasheva, M. T. Alibayeva, and A. T. Bisembaev. "Space images as one of the tools for the rangelands condition assessment in Kazakhstan." Agrarian science, no. 5 (June 17, 2022): 49–53. http://dx.doi.org/10.32634/0869-8155-2022-359-5-49-53.

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Relevance. Kazakhstan possesses enormous pasture resources, which in turn requires proper management and regulation. Drought, climate change, plant degradation and declining grazing resources have led to a shortage of feed , which led to massive livestock deaths in 2021. Lack of up-to-date information on the condition of rangelands is the main problem for Kazakhstan. The use of Earth remote sensing data makes it possible to obtain important information about the dynamic and spatial characteristics of pasture vegetation. Methodological substantiation of remote sensing data for the assessment of

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Saravahidi, Amir Shahrokh Amini, and Vahid Hatamzadeh. "Remote Sensing Indexes Assessment for Drought Monitoring Using Sentinel Satellite Imagery: A Case Study from Natanz County, Iran." Asian Journal of Geographical Research 6, no. 1 (2023): 35–43. http://dx.doi.org/10.9734/ajgr/2023/v6i1175.

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In recent years, the problem of climate change and decrease in rainfall has become a big challenge in Iran, so it’s monitoring and control is very vital and necessary. In addition to the classical methods, nowadays with the progress of the space industry in the world, the use of remote sensing techniques has greatly helped to detect and monitor drought. The science of remote sensing and the use of satellite images is considered a useful and optimal tool for drought monitoring. In this project, we investigated the occurrence of drought using satellite images and remote sensing techniques. In th

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Lyu, Xin, Xiaobing Li, Jirui Gong, et al. "Comprehensive Grassland Degradation Monitoring by Remote Sensing in Xilinhot, Inner Mongolia, China." Sustainability 12, no. 9 (2020): 3682. http://dx.doi.org/10.3390/su12093682.

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Grassland degradation is a complex process and cannot be thoroughly measured by a single indicator, such as fractional vegetation cover (FVC), aboveground biomass (AGB), or net primary production (NPP), or by a simple combination of these indicators. In this research, we combined measured data with vegetation and soil characteristics to establish a set of standards applicable to the monitoring of regional grassland degradation by remote sensing. We selected indicators and set their thresholds with full consideration given to vegetation structure and function. We optimized the indicator simulat

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Román-Mireles, Amarelys. "Remote sensing as a tool for natural disaster risk analysis: a bibliometric review." Salud, Ciencia y Tecnología - Serie de Conferencias 2 (September 28, 2023): 390. http://dx.doi.org/10.56294/sctconf2023390.

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Introduction: remote sensing as a tool is a fundamental resource that helps to develop various applications for disaster risk management.Objective: to conduct a bibliometric analysis of remote sensing as a tool for natural disaster risk analysis in Scopus between 2003 and 2023.Methods: this was a bibliometric analysis that defined the metrics of scientific production. The indicators were obtained from 409 documents chosen from the Scopus database using keywords in English (Remote sensing, natural disaster).Results: the data revealed a significant increase in the number of papers published on t

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Niu, X., and Y. Li. "REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 733–37. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-733-2020.

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Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to

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Casas, Joan R., Rolando Chacón, Necati Catbas, Belén Riveiro, and Daniel Tonelli. "Remote Sensing in Bridge Digitalization: A Review." Remote Sensing 16, no. 23 (2024): 4438. http://dx.doi.org/10.3390/rs16234438.

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A review of the application of remote sensing technologies in the SHM and management of existing bridges is presented, showing their capabilities and advantages, as well as the main drawbacks when specifically applied to bridge assets. The main sensing technologies used as corresponding platforms are discussed. This is complemented by the presentation of five case studies emphasizing the wide field of application in several bridge typologies and the justification for the selection of the optimal techniques depending on the objectives of the monitoring and assessment of a particular bridge. The

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Chakkor, Saad. "Performance Indicators for Wireless Intelligent Sensors Applications." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 3 (2014): 129. http://dx.doi.org/10.11591/ijict.v3i3.pp129-143.

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<span lang="EN-US">The metrology technology has been evolved so much with the wireless sensor intelligent systems providing more capabilities in term of processing, remote multi-sensing fusion and storage. This kind of systems can be used in many types of environments. The</span><span lang="EN-US"> monitoring is one of the most used. However, various design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations. Communication in sensor network should be as efficient as possible, especially for applications requiring specific perfo

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Lopatin, Eugene, Maxim Trishkin, and Olga Gavrilova. "Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing." Forests 7, no. 12 (2016): 85. http://dx.doi.org/10.3390/f7040085.

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Teixeira, Anita Fernanda dos Santos, Sérgio Henrique Godinho Silva, David C. Weindorf, et al. "Microbiological indicators of soil quality predicted via proximal and remote sensing." European Journal of Soil Biology 104 (May 2021): 103315. http://dx.doi.org/10.1016/j.ejsobi.2021.103315.

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