Impact of vegetation cover loss on surface temperature and carbon emission in a fastest-growing city, Cumilla, Bangladesh

AA Kafy, A Al Rakib, MA Fattah, ZA Rahaman… - Building and …, 2022 - Elsevier
Human pressures, combined with changing hydrology and land resources, have a distinct
effect on the carbon chain and ecosystem resilience. The increase in urban areas …

Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape

MS Dhillon, T Dahms, C Kuebert-Flock… - Frontiers in Remote …, 2023 - frontiersin.org
The fast and accurate yield estimates with the increasing availability and variety of global
satellite products and the rapid development of new algorithms remain a goal for precision …

National-scale cropland mapping based on phenological metrics, environmental covariates, and machine learning on Google Earth Engine

A Htitiou, A Boudhar, A Chehbouni… - Remote Sensing, 2021 - mdpi.com
Many challenges prevail in cropland mapping over large areas, including dealing with
massive volumes of datasets and computing capabilities. Accordingly, new opportunities …

Spatiotemporal fusion modelling using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria

MS Dhillon, T Dahms, C Kübert-Flock… - Remote Sensing, 2022 - mdpi.com
The increasing availability and variety of global satellite products provide a new level of data
with different spatial, temporal, and spectral resolutions; however, identifying the most suited …

Assessments of drought effects on plant production using satellite remote sensing technology, GIS and observed climate data in Northwest Morocco, case of the lower …

O Hakam, A Baali, K Azennoud, A Lyazidi… - International Journal of …, 2023 - Springer
Today in Morocco, early warning and drought monitoring systems are the important step in
the assessment of agricultural drought risks, especially in rainfed agriculture. Many …

The Potential of Google Earth Engine as Decision Support for Agricultural and Forestry Planning Policies in Latin America and the Caribbean: A Meta-Analysis and …

AF Ríos-Mesa, JC Palacio-Piedrahíta… - Journal of …, 2025 - Taylor & Francis
The primary challenges in the Latin American and Caribbean (LAC) region are enhancing
technological capabilities and information in agriculture and forestry. Land use change is …

Prediction and monitoring of LULC shift using cellular automata-artificial neural network in Jumar watershed of Ranchi District, Jharkhand

S Pandey, N Kumari - Environmental Monitoring and Assessment, 2023 - Springer
Jumar watershed of Ranchi district is agrarian in nature. The unplanned and exponentially
growing urban sprawl has become one of the probable threats in achieving sustainable …

The Importance of agronomic knowledge for crop detection by Sentinel-2 in the CAP controls framework: a possible rule-based classification approach

F Sarvia, S De Petris, F Ghilardi, E Xausa… - Agronomy, 2022 - mdpi.com
Farmers are supported by European Union (EU) through contributions related to the
common agricultural policy (CAP). To obtain grants, farmers have to apply every year …

Vegetation Trend Detection Using Time Series Satellite Data as Ecosystem Condition Indicators for Analysis in the Northwestern Highlands of Ethiopia

B Alemayehu, J Suarez-Minguez, J Rosette, SA Khan - Remote Sensing, 2023 - mdpi.com
Vegetation is an essential component of the terrestrial ecosystem and has changed
significantly over the last two decades in the Northwestern Highlands of Ethiopia. However …

Deep learning-based spatiotemporal fusion approach for producing high-resolution NDVI time-series datasets

A Htitiou, A Boudhar… - Canadian Journal of …, 2021 - Taylor & Francis
The availability of concurrently high spatiotemporal resolution remote sensing data is highly
desirable as they represent a key element for effective monitoring in various environmental …