Recent advances in the remote sensing of insects

MW Rhodes, JJ Bennie, A Spalding… - Biological …, 2022 - Wiley Online Library
Remote sensing has revolutionised many aspects of ecological research, enabling
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 …

Context-aware movement analysis in ecology: a systematic review

V Brum-Bastos, M Łoś, JA Long, T Nelson… - International Journal of …, 2022 - Taylor & Francis
Research on movement has increased over the past two decades, particularly in movement
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

X Liu, TE Fatoyinbo, NM Thomas, WW Guan… - Frontiers in Earth …, 2021 - frontiersin.org
Coastal mangrove forests provide important ecosystem goods and services, including
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

A Kombate, F Folega, W Atakpama, M Dourma, K Wala… - Land, 2022 - mdpi.com
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 …

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 …

Monitoring cocoa-driven deforestation: The contexts of encroachment and land use policy implications for deforestation free cocoa supply chains in Ghana

G Ashiagbor, WA Asante, EK Forkuo, E Acheampong… - Applied …, 2022 - Elsevier
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 …

Automatic map** of rice growth stages using the integration of sentinel-2, mod13q1, and sentinel-1

F Ramadhani, R Pullanagari, G Kereszturi, J Procter - Remote sensing, 2020 - mdpi.com
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 …

Analyzing urban expansion and land use dynamics in Bagua Grande and Chachapoyas using cloud computing and predictive modeling

E Barboza, EY Turpo, RS Lopez… - Earth Systems and …, 2024 - Springer
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 …

[HTML][HTML] Early identification of immature rubber plantations using Landsat and Sentinel satellite images

X Wang, B Chen, J Dong, Y Gao, G Wang, H Lai… - International Journal of …, 2024 - Elsevier
Early identification of rubber plantations holds significant importance for both optimal
plantation management and scientific studies. Even though remote sensing techniques for …