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Recent advances in the remote sensing of insects
Remote sensing has revolutionised many aspects of ecological research, enabling
spatiotemporal data to be collected in an efficient and highly automated manner. The last …
spatiotemporal data to be collected in an efficient and highly automated manner. The last …
PlanetScope contributions compared to Sentinel-2, and Landsat-8 for LULC map**
S Acharki - Remote Sensing Applications: Society and …, 2022 - Elsevier
Up-to-date and accurate land use and land cover (LULC) maps are vital for monitoring
various environmental and natural resources management. In this study, we evaluate …
various environmental and natural resources management. In this study, we evaluate …
Context-aware movement analysis in ecology: a systematic review
Research on movement has increased over the past two decades, particularly in movement
ecology, which studies animal movement. Taking context into consideration when analysing …
ecology, which studies animal movement. Taking context into consideration when analysing …
Large-scale high-resolution coastal mangrove forests map** across West Africa with machine learning ensemble and satellite big data
Coastal mangrove forests provide important ecosystem goods and services, including
carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are …
carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are …
[HTML][HTML] Characterization of land-cover changes and forest-cover dynamics in Togo between 1985 and 2020 from Landsat images using Google Earth Engine
Carbon stocks in forest ecosystems, when released as a result of forest degradation,
contribute to greenhouse gas (GHG) emissions. To quantify and assess the rates of these …
contribute to greenhouse gas (GHG) emissions. To quantify and assess the rates of these …
Land cover map** using sentinel-1 time-series data and machine-learning classifiers in agricultural sub-saharan landscape
S Dahhani, M Raji, M Hakdaoui, R Lhissou - Remote Sensing, 2022 - mdpi.com
This paper shows the efficiency of machine learning for improving land use/cover
classification from synthetic aperture radar (SAR) satellite imagery as a tool that can be used …
classification from synthetic aperture radar (SAR) satellite imagery as a tool that can be used …
Monitoring cocoa-driven deforestation: The contexts of encroachment and land use policy implications for deforestation free cocoa supply chains in Ghana
This research analyzed cocoa deforestation within the framework of land-use policies to
support efforts to implement deforestation-free cocoa commitments in Ghana. Land-use …
support efforts to implement deforestation-free cocoa commitments in Ghana. Land-use …
Automatic map** of rice growth stages using the integration of sentinel-2, mod13q1, and sentinel-1
Rice (Oryza sativa L.) is a staple food crop for more than half of the world's population. Rice
production is facing a myriad of problems, including water shortage, climate, and land-use …
production is facing a myriad of problems, including water shortage, climate, and land-use …
Analyzing urban expansion and land use dynamics in Bagua Grande and Chachapoyas using cloud computing and predictive modeling
Abstract Urban growth and Land Use/Land Cover (LULC) changes have increased in recent
decades due to anthropogenic activities. This study explored past and projected future …
decades due to anthropogenic activities. This study explored past and projected future …
[HTML][HTML] Early identification of immature rubber plantations using Landsat and Sentinel satellite images
Early identification of rubber plantations holds significant importance for both optimal
plantation management and scientific studies. Even though remote sensing techniques for …
plantation management and scientific studies. Even though remote sensing techniques for …