Relevant bibliographies by topics / Remote sensing indicators

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Remote sensing indicators'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Remote sensing indicators"

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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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Dissertations / Theses on the topic "Remote sensing indicators"

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Bater, Christopher William. "Assessing indicators of forest sustainability using lidar remote sensing." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/599.

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The Province of British Columbia is developing a suite of attributes to assess and monitor forest sustainability. Each attribute is in turn evaluated using a variety of indicators. Recently, digital remote sensing technologies have emerged as both alternative and supplement to traditional monitoring techniques, with light detection and ranging (lidar) in particular showing great promise for estimating a variety of indicators. The goal of this thesis was to review and assess the ability of lidar to estimate selected indicators of forest sustainability. Specifically, digital elevation model (DEM
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Ivits-Wasser, Eva. "Potential of remote sensing and GIS as landscape structure and biodiversity indicators." [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11259425.

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Charnock, Rebecca Brigid. "Assessment of remote sensing attributes as biodiversity indicators on a European protected raised bog." Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/540a622d-ad36-453d-b64d-c45faa77e15a.

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Biodiversity is declining globally primarily because of climatic change and anthropogenic impacts. In Europe, protected sites (e.g. Natura 2000) have been established to prevent further loss of biodiversity and protect key habitats from further deterioration, including from previous detrimental management practices. In the UK and particularly Wales, even protected habitats lack a coherent management approach leaving conservation bodies to work with communities to protect their biodiversity. Few systems exist for consistently, routinely and spatially quantifying biodiversity, assessing impacts
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Rodriguez, Wilfrid. "Remote sensing and landscape analysis of indicators of estuarine condition in the Northeastern United States /." View online ; access limited to URI, 2003. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3112127.

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Gusmawati, Niken Financia. "Which remote sensing indicators to survey shrimp farms in activity and to rehabilitate abandoned sites?" Thesis, Nouvelle Calédonie, 2017. http://www.theses.fr/2017NCAL0008/document.

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La production de crevettes en Indonésie est en constante augmentation de part sa surface et l'intensification de ses élevages. Cette filière contribue au développement économique en milieu rural, à la sécurité alimentaire nationale, à l'emploi et au commerce extérieur. Cependant, ce développement rapide s'est accompagné d'effets écologiques et sociaux négatifs. Le développement de maladies dans les élevages ainsi que la dégradation de l'environnement côtier a conduit à l'abandon de 250 000 hectares de bassins dans le pays. Leur réhabilitation dans le cadre d'une activité durable est aujourd'hu
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Motswaledi, Mokhine. "Using remote sensing indices to evaluate habitat intactness in the Bushbuckridge area : a key to effective planning." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96798.

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Thesis (MSc)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Anthropological influences are threatening the state of many savanna ecosystems in most rural landscapes around the world. Effective monitoring and management of these landscapes requires up to date maps and data on the state of the environment. Degradation data over a range of scales is often not readily available due to a lack of financial resources, time and technical capabilities. The aim of this research was to use a medium resolution multispectral SPOT 5 image from 2010 and Landsat 8 images from 2014 to map habitat intactn
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House, Matthew Neal. "Identifying Forest Conversion Hotspots in the Commonwealth of Virginia using Multitemporal Landsat Data and Known Change Indicators." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/86139.

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This study examines the effectiveness of using the Normalized Difference Vegetation Index (NDVI) derived from 1326 different Landsat Thematic Mapper and Enhanced Thematic Mapper images in finding isolated housing starts within the Commonwealth of Virginia's forests. Individual NDVI images were stacked by year for the years 1995-2011 and the yearly maximum for each pixel was extracted, resulting in a 17-year image stack of all yearly maxima (a 98.7% data reduction). Using location data from housing starts and well permits, known previously forested housing starts were isolated from all other fo
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Gapper, Justin J. "Bias Reduction in Machine Learning Classifiers for Spatiotemporal Analysis of Coral Reefs using Remote Sensing Images." Chapman University Digital Commons, 2019. https://digitalcommons.chapman.edu/cads_dissertations/2.

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This dissertation is an evaluation of the generalization characteristics of machine learning classifiers as applied to the detection of coral reefs using remote sensing images. Three scientific studies have been conducted as part of this research: 1) Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean 2) Coral Reef Change Detection in Remote Pacific Islands using Support Vector Machine Classifiers 3) A Generalized Machine Learning Classifier for Spatiotemporal Analysis of Coral Reefs in the Red Sea
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Furberg, Dorothy. "Satellie Monitoring of Urban Growth and Indicator-based Assessment of Environmental Impact." Licentiate thesis, KTH, Geodesi och geoinformatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157669.

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One of the major consequences of urbanization is the transformation of land surfaces from rural/natural environments to built-up land that supports diverse forms of human activity. These transformations impact the local geology, climate, hydrology, flora and fauna and human-life supporting ecosystem services in the region. Mapping and analysis of land use/land cover change in urban regions and tracking their environmental impact is therefore of vital importance for evaluating policy options for future growth and promoting sustainable urban development. The overall objective of this research is
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Grecchi, Rosana Cristina. "Land-use and environmental changes in the Cerrados of South-Eastern Mato Grosso - Brazil." Thèse, Université de Sherbrooke, 2011. http://savoirs.usherbrooke.ca/handle/11143/2833.

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The human-induced changes of the Earth's land surfaces have been unprecedented, with outcomes often indicating degradation and loss of environmental quality. Mato Grosso State in Brazil, location of the study area, underwent extensive land-use and land-cover changes in recent decades with the rates, patterns and consequences poorly documented until now. In this context, the aim of the present research is to propose a multidisciplinary approach for quantifying historical land-use and environmental changes in the southeast part of this State, where the Cerrado biome (Brazilian savannas) has been
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Books on the topic "Remote sensing indicators"

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I, Movchan I͡A︡, and Instytut botaniky im. M.H. Kholodnoho., eds. Fitoindikat͡s︡ii͡a︡ v distant͡s︡ionnykh issledovanii͡a︡kh. Nauk. dumka, 1993.

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1969-, Phinn Stuart, and Cooperative Research Centre for Tropical Rainforest Ecology and Management., eds. Evaluating the feasibility of remote sensing for monitoring state of the wet tropics environmental indicators. Cooperative Research Centre for Tropical Rainforest Ecology and Management, 2001.

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Frohn, Robert C. Remote sensing for landscape ecology: New metric indicators for monitoring, modeling, and assessment of ecosystems. Lewis Publishers, 1998.

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Brazeau, Stéphanie, and Nicholas H. Ogden, eds. Earth observation, public health and one health: activities, challenges and opportunities. CABI, 2022. http://dx.doi.org/10.1079/9781800621183.0000.

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Abstract This book contains 4 chapters that discuss in the context of both the One Health concept and the SDG initiative, remote sensing can provide solutions to the priority of assessing and monitoring public health risks, and it can play an important role in supporting decision making to reduce health risks within our shared ecosystems. The growing awareness of complex but causal interactions among these realms has motivated professionals in a wide range of sectors to adopt the One Health approach, which promotes intersectoral collaboration to address health issues at the human-animal-enviro
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Spectrum Analysis Workshop on the Use of Vegetation as an Indicator of Environmental Contamination (1994 Reno, Nev.). Spectral Analysis Workshop on the Use of Vegetation as an Indicator of Environmental Contamination: Proceedings of a workshop, Desert Research Institute, Reno, Nevada, November 9-10, 1994. Edited by Milton N. M, Lancaster Judith, and Geological Survey (U.S.). U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Frohn, Robert C., and Ricardo D. Lopez. Remote Sensing for Landscape Ecology: New Metric Indicators. Taylor & Francis Group, 2017.

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Frohn, Robert C., and Ricardo D. Lopez. Remote Sensing for Landscape Ecology: New Metric Indicators. Taylor & Francis Group, 2017.

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Frohn, Robert C., and Ricardo D. Lopez. Remote Sensing for Landscape Ecology: New Metric Indicators. Taylor & Francis Group, 2017.

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Frohn, Robert C., and Ricardo D. Lopez. Remote Sensing for Landscape Ecology: New Metric Indicators. Taylor & Francis Group, 2017.

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Remote Sensing for Landscape Ecology: New Metric Indicators. Taylor & Francis Group, 2019.

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Book chapters on the topic "Remote sensing indicators"

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Walker, J., and D. L. B. Jupp. "Monitoring vegetation change in arid lands using remote sensing." In Ecological Indicators. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4661-0_78.

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Gregoire, J.-M. "Watershed Degradation — Use of Thermal Data and Vegetation Indices as Indicators of Environmental Changes — Hydrological Implications of Changes in Land Surface Cover." In Eurocourses: Remote Sensing. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-017-2879-9_12.

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Torresan, Chiara, Sebastiaan Luyssaert, Gianluca Filippa, Mohammad Imangholiloo, and Rachel Gaulton. "Remote Sensing Technologies for Assessing Climate-Smart Criteria in Mountain Forests." In Climate-Smart Forestry in Mountain Regions. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80767-2_11.

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AbstractMonitoring forest responses to climate-smart forestry (CSF) is necessary to determine whether forest management is on track to contribute to the reduction and/or removal of greenhouse gas emissions and the development of resilient mountain forests. A set of indicators to assess “the smartness” of forests has been previously identified by combining indicators for sustainable forest management with the ecosystem services. Here, we discuss the remote sensing technologies suitable to assess those indicators grouped in forest resources, health and vitality, productivity, biological diversit
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Fernández, Néstor, Simon Ferrier, Laetitia M. Navarro, and Henrique M. Pereira. "Essential Biodiversity Variables: Integrating In-Situ Observations and Remote Sensing Through Modeling." In Remote Sensing of Plant Biodiversity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_18.

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AbstractEssential biodiversity variables (EBVs) are designed to support the detection and quantification of biodiversity change and to define priorities in biodiversity monitoring. Unlike most primary observations of biodiversity phenomena, EBV products should provide information readily available to produce policy-relevant biodiversity indicators, ideally at multiple spatial scales, from global to subnational. This information is typically complex to produce from a single set of data or type of observation, thus requiring approaches that integrate multiple sources of in situ and remote sensin
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Yagci, Ali Levent, Joseph A. Santanello, Matthew Rodell, Meixia Deng, and Liping Di. "Detecting the 2012 Drought in the Southeastern United States with Moderate Resolution Imaging Spectroradiometer- and Gravity Recovery and Climate Experiment-Based Drought Indicators *." In Remote Sensing of Hydrometeorological Hazards. CRC Press, 2017. http://dx.doi.org/10.1201/9781315154947-5.

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Mastere, Mohamed, Abdelkrim Achbun, and Bouchta El Fellah. "Open Remote Sensing Image Classification Using NDVI and Thermal Bands." In Mapping and Spatial Analysis of Socio-economic and Environmental Indicators for Sustainable Development. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21166-0_13.

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Bengoufa, Soumia, Simona Niculescu, Mustapha Kamel Mihoubi, Rabah Belkessa, and Katia Abbad. "Automatic Detection of Hydrodynamical and Biological Indicators of the Shoreline Using a Convolutional Neural Network." In European Spatial Data for Coastal and Marine Remote Sensing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16213-8_11.

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Schott, Moritz, Adina Zell, Sven Lautenbach, et al. "Analyzing and Improving the Quality and Fitness for Purpose of OpenStreetMap as Labels in Remote Sensing Applications." In Volunteered Geographic Information. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35374-1_2.

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AbstractOpenStreetMap (OSM) is a well-known example of volunteered geographic information. It has evolved to one of the most used geographic databases. As data quality of OSM is heterogeneous both in space and across different thematic domains, data quality assessment is of high importance for potential users of OSM data. As use cases differ with respect to their requirements, it is not data quality per se that is of interest for the user but fitness for purpose. We investigate the fitness for purpose of OSM to derive land-use and land-cover labels for remote sensing-based classification model
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Niu, Zhiru, Wei Cai, Daowen Xu, and Shaofei Jin. "Improving Water Hyacinth Extraction from UAV Images Using Enhanced U-Net." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_24.

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Abstract This paper addresses the issues of accuracy and efficiency in extracting the distribution areas of water hyacinth. A small-scale water hyacinth dataset was established based on drone-collected photos of water hyacinth in river channels, which was utilized for semantic segmentation tasks. A method based on deep learning was proposed to extract water hyacinth distribution areas from high-resolution drone remote sensing images. An efficient, accurate, and automated convolutional neural network called AttUNet was designed for this purpose, which eliminates the need for manually designed r
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Breaban, Iuliana Gabriela, Alexandra Petronela Stoleriu, and Andreea Florina Stoleriu. "Remote Sensing Indicators for Assessing the Trophic Status of Barrier Lakes from Bahlui Catchment (Romania)." In Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-43218-7_47.

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Conference papers on the topic "Remote sensing indicators"

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Sinha, Mala, Mili Ghosh Nee Lala, and Swagata Payra. "Assessment of Satellite-Derived Indicators of Extreme Rainfall." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984246.

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Chouikhi, Farah, Ali Ben Abbes, and Imed Riadh Farah. "Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641199.

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Fotakidis, Vangelis, Konstantinos Panayiotou, Eleni Fitoka, et al. "EL-BIOS Data Cube: National-Scale Biodiversity Monitoring in Greece Through EO Indicators." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641017.

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Guida, Raffaella, Maximilian Rodger, Vickram Bissonauth, et al. "Towards Satellite-Based Indicators of Economic Loss Due to Illegal Unreported and Unregulated Fishing." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642056.

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Gauto, Víctor Hugo, Enid Marta Utgés, Elsa Ivonne Hervot, et al. "Remote Sensing Regression Models to Estimate Water Quality Indicators in Continental Waters in North-East Argentina." In 2024 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2024. http://dx.doi.org/10.1109/argencon62399.2024.10735875.

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Blaunstein, Nathan. "Remote Sensing of Ionospheric Indicators of Precursors of Earthquake by use of Vertical and Oblique Ionosounds." In EMC_2002_Wroclaw. IEEE, 2002. https://doi.org/10.23919/emc.2002.10842642.

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Blaunstein, Nathan. "Remote Sensing of Ionospheric Indicators of Precursors of Earthquake by use of Vertical and Oblique Ionosounds." In EMC_2002_Wroclaw. IEEE, 2002. https://doi.org/10.23919/emc.2002.10842529.

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Mallinis, Giorgos, Eleni Fitoka, Irene Chrysafis, Vangelis Fotakidis, Lena Chatziiordanou, and Elena Chatzicharalabous. "EO-based indicators for biodiversity monitoring at national scale in Greece: framework development for the Hellenic biodiversity information system (EL-BIOS)." In Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), edited by Silas C. Michaelides, Diofantos G. Hadjimitsis, Chris Danezis, et al. SPIE, 2024. http://dx.doi.org/10.1117/12.3038356.

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Yelistratova, Lesya, Alexander Apostolov, Artur Hodorovsky, Olha Tomchenko, and Maksym Tymchyshyn. "SATELLITE MONITORING OF ANTHROPOGENIC PROCESSES AND FACTORS OF LAND DEGRADATION IN UKRAINE." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s10.35.

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The relevance of the research lies in the fact that the well-being of the Ukrainian nation, present and future generations, largely depends on the preservation of existing ecosystems, their support, and the enhancement of their quality and biodiversity. Particular attention should be paid to the problem of land cover degradation. Land cover currently holds a unique status regarding food security and is a dominant source for renewing crucial biospheric functions, ensuring the diversity of living organisms. The anthropogenic and technological pressure on Ukraine's environment (land cover) exceed
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Kancheva, Rumiana, and Georgi Georgiev. "Spectral and agronomical indicators of crop yield." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2011. http://dx.doi.org/10.1117/12.898294.

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Reports on the topic "Remote sensing indicators"

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Busby, Ryan, Wade Wall, and Lauren Bosche. Remote detection of soil shear strength in Arctic and subarctic environments. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49815.

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Soil shear strength affects many military activities and is affected significantly by plant roots. Unfortunately, root contribution to soil shear strength is difficult to measure and predict. In the boreal forest ecosystem, soil and hydrologic dynamics make soil shear strength less predictable, while the need for prediction grows due to the rapid changes occurring in this environment. Our current study objectives are to (1) observe possible aboveground vegetation indicators of soil shear strength variation across soils and other environmental heterogeneity, (2) observe possible image-based ind
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Chen, Z., S. E. Grasby, C. Deblonde, and X. Liu. AI-enabled remote sensing data interpretation for geothermal resource evaluation as applied to the Mount Meager geothermal prospective area. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330008.

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The objective of this study is to search for features and indicators from the identified geothermal resource sweet spot in the south Mount Meager area that are applicable to other volcanic complexes in the Garibaldi Volcanic Belt. A Landsat 8 multi-spectral band dataset, for a total of 57 images ranging from visible through infrared to thermal infrared frequency channels and covering different years and seasons, were selected. Specific features that are indicative of high geothermal heat flux, fractured permeable zones, and groundwater circulation, the three key elements in exploring for geoth
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Yoel, David, Tina Sicilia, Matthew Bogaart, and Jeremy Fernandes. PR-417-203902-R02 Remote Sensing and Leak Detection Platform that Can Deploy Multiple Sensor Types. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000055.

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American Aerospace Technologies, Inc. has conducted a pilot project for the Pipeline Research Council, International to evaluate the performance of an automated threat detection system onboard a medium alti-tude, long endurance unmanned aircraft capable of beyond visual line of sight flight that can be used in the pipeline industry for routine patrol and surveillance as a risk reduction solution. The unmanned aircraft system test program evaluation was conducted at Test Site(s) in Pendleton, Oregon, Woodbine, New Jersey, and San Joaquin Valley, California using American Aerospace sensors, unma
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Johansen, Richard A., Christina L. Saltus, Molly K. Reif, and Kaytee L. Pokrzywinski. A Review of Empirical Algorithms for the Detection and Quantification of Harmful Algal Blooms Using Satellite-Borne Remote Sensing. U.S. Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/44523.

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Harmful Algal Blooms (HABs) continue to be a global concern, especially since predicting bloom events including the intensity, extent, and geographic location, remain difficult. However, remote sensing platforms are useful tools for monitoring HABs across space and time. The main objective of this review was to explore the scientific literature to develop a near-comprehensive list of spectrally derived empirical algorithms for satellite imagers commonly utilized for the detection and quantification HABs and water quality indicators. This review identified the 29 WorldView-2 MSI algorithms, 25
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Reif, Molly, and Nina Zamani. Review of remote-sensing methods for mapping riparian and submerged aquatic vegetation : support for ecosystem restoration monitoring and flood risk management. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49792.

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Riparian vegetation, defined as multilayered herbaceous and woody plant communities along river margins or bank edges, and freshwater submerged aquatic vegetation (SAV), described as rooted aquatic plants in shallow rivers, lakes, and estuaries, are key factors influencing the connection between river and floodplain systems. These vegetation types are often used as indicators of riparian health. Current data on riparian vegetation and SAV are essential for addressing future water resource needs, particularly for restoration monitoring and flood risk management. The US Army Corps of Engineers (
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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider s
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Leblanc, S. G., W. Chen, and R. A. Fernandes. Forest Cover Indicator Based on Multi-scale Remote Sensing Information. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/220051.

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Saltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42240.

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Monitoring water quality of small inland lakes and reservoirs is a critical component of USACE water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs that cover vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality (Beck et al. 2016; Beck et al
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Saltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox : user's guide. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45362.

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Monitoring water quality of small inland lakes and reservoirs is a critical component of the US Army Corps of Engineers (USACE) water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs covering vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water qualit
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Klobucar, Blaz. Urban Tree Detection in Historical Aerial Imagery of Sweden : a test in automated detection with open source Deep Learning models. Faculty of Landscape Architecture, Horticulture and Crop Production Science, Swedish University of Agricultural Sciences, 2024. http://dx.doi.org/10.54612/a.7kn4q7vikr.

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Urban trees are a key component of the urban environment. In Sweden, ambitious goals have been expressed by authorities regarding the retention and increase of urban tree cover, aiming to mitigate climate change and provide a healthy, livable urban environment in a highly contested space. Tracking urban tree cover through remote sensing serves as an indicator of how past urban planning has succeeded in retaining trees as part of the urban fabric, and historical imagery spanning back decades for such analysis is widely available. This short study examines the viability of automated detection us
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