Application of GIS in agriculture in promoting evidence-informed decision making for improving agriculture sustainability: a systematic review
The objective of this review was to synthesize existing evidence on GIS and RS application
in agriculture in enhancing evidence-informed policy and practice for improving agriculture …
in agriculture in enhancing evidence-informed policy and practice for improving agriculture …
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 …
[HTML][HTML] Exploring Google Earth Engine platform for big data processing: Classification of multi-temporal satellite imagery for crop mapping
Many applied problems arising in agricultural monitoring and food security require reliable
crop maps at national or global scale. Large scale crop mapping requires processing and …
crop maps at national or global scale. Large scale crop mapping requires processing and …
Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model
Abstract Knowledge on geographical location and distribution of crops at global, national
and regional scales is an extremely valuable source of information for many applications …
and regional scales is an extremely valuable source of information for many applications …
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 …
Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine
Ukraine is one of the most developed agricultural countries in the world. For many
applications, it is extremely important to provide reliable crop maps taking into account …
applications, it is extremely important to provide reliable crop maps taking into account …
Efficiency assessment of using satellite data for crop area estimation in Ukraine
The knowledge of the crop area is a key element for the estimation of the total crop
production of a country and, therefore, the management of agricultural commodities markets …
production of a country and, therefore, the management of agricultural commodities markets …
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
Accurate cropland information is of paramount importance for crop monitoring. This study
compares five existing cropland mapping methodologies over five contrasting Joint …
compares five existing cropland mapping methodologies over five contrasting Joint …
Automatic system for crop pest and disease dynamic monitoring and early forecasting
Infected areas and damage levels due to crop pest and disease have been growing
seriously according to the climate change. We aim to develop an automatic system to …
seriously according to the climate change. We aim to develop an automatic system to …
Regional scale crop mapping using multi-temporal satellite imagery
One of the problems in dealing with optical images for large territories (more than 10,000 sq.
km) is the presence of clouds and shadows that result in having missing values in data sets …
km) is the presence of clouds and shadows that result in having missing values in data sets …