[HTML][HTML] What is going on within google earth engine? A systematic review and meta-analysis
Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …
information applications in the 'cloud'. This platform provides free access to huge volumes of …
Land use and land cover map** using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …
information for dynamic monitoring, planning, and management of the Earth. With the advent …
[HTML][HTML] Map** crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
Northeast China is one of the most major grain banks in China and has an overwhelming
influence on food security. To mitigate the challenges caused by increasing food demands …
influence on food security. To mitigate the challenges caused by increasing food demands …
Crop map** using supervised machine learning and deep learning: a systematic literature review
The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …
growing food demands while minimizing negative impacts on water and soil, agricultural …
Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication
C Yang, CPC Suh - Computers and Electronics in Agriculture, 2023 - Elsevier
Early identification of cotton fields is critical for boll weevil eradication programs to establish
field traps for monitoring weevil populations. However, most studies on crop type map** …
field traps for monitoring weevil populations. However, most studies on crop type map** …
Machine learning and food security: insights for agricultural spatial planning in the context of agriculture 4.0
Climate change and global warming interconnected with the new contexts created by the
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …
Cropland Extraction in Southern China from Very High-Resolution Images Based on Deep Learning
D ** rice and grain crops in the middle reaches of …
The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco
The planning and management of groundwater in the absence of in situ climate data is a
delicate task, particularly in arid regions where this resource is crucial for drinking water …
delicate task, particularly in arid regions where this resource is crucial for drinking water …