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Remote sensing and crop** practices: A review
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
Deep learning classification of land cover and crop types using remote sensing data
Deep learning (DL) is a powerful state-of-the-art technique for image processing including
remote sensing (RS) images. This letter describes a multilevel DL architecture that targets …
remote sensing (RS) images. This letter describes a multilevel DL architecture that targets …
Exploring Google Earth Engine platform for big data processing: Classification of multi-temporal satellite imagery for crop map**
Many applied problems arising in agricultural monitoring and food security require reliable
crop maps at national or global scale. Large scale crop map** requires processing and …
crop maps at national or global scale. Large scale crop map** requires processing and …
Synergistic use of radar Sentinel-1 and optical Sentinel-2 imagery for crop map**: A case study for Belgium
A timely inventory of agricultural areas and crop types is an essential requirement for
ensuring global food security and allowing early crop monitoring practices. Satellite remote …
ensuring global food security and allowing early crop monitoring practices. Satellite remote …
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth …
J ** in the subtropical agriculture region
C Sun, Y Bian, T Zhou, J Pan - Sensors, 2019 - mdpi.com
Crop-type identification is very important in agricultural regions. Most researchers in this
area have focused on exploring the ability of synthetic-aperture radar (SAR) sensors to …
area have focused on exploring the ability of synthetic-aperture radar (SAR) sensors to …
Parcel-based crop classification in Ukraine using Landsat-8 data and Sentinel-1A data
N Kussul, G Lemoine, FJ Gallego… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
For many applied problems in agricultural monitoring and food security, it is important to
provide reliable crop classification maps. Satellite imagery is extremely valuable source of …
provide reliable crop classification maps. Satellite imagery is extremely valuable source of …
[HTML][HTML] Spatiotemporal analysis and war impact assessment of agricultural land in Ukraine using RS and GIS technology
Y Ma, D Lyu, K Sun, S Li, B Zhu, R Zhao, M Zheng… - Land, 2022 - mdpi.com
Military conflicts are one of the inevitable factors that can cause countries to suffer from food
insecurity due to reduced agricultural productivity, increased food prices, and the …
insecurity due to reduced agricultural productivity, increased food prices, and the …
Cloud removal from satellite images using spatiotemporal generator networks
Satellite images hold great promise for continuous environmental monitoring and earth
observation. Occlusions cast by clouds, however, can severely limit coverage, making …
observation. Occlusions cast by clouds, however, can severely limit coverage, making …