High resolution wheat yield mapping using Sentinel-2
ML Hunt, GA Blackburn, L Carrasco… - Remote Sensing of …, 2019 - Elsevier
Accurate crop yield estimates are important for governments, farmers, scientists and
agribusiness. This paper provides a novel demonstration of the use of freely available …
agribusiness. This paper provides a novel demonstration of the use of freely available …
Improvement in land cover and crop classification based on temporal features learning from Sentinel-2 data using recurrent-convolutional neural network (R-CNN)
Understanding the use of current land cover, along with monitoring change over time, is vital
for agronomists and agricultural agencies responsible for land management. The increasing …
for agronomists and agricultural agencies responsible for land management. The increasing …
Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands
H Ren, G Zhou, F Zhang - Remote Sensing of Environment, 2018 - Elsevier
All values of soil adjustment factor (L) from 0 to 1 in the soil-adjusted vegetation index (SAVI)
were found to be undesirable in arid areas with sparse vegetation cover. We hypothesized …
were found to be undesirable in arid areas with sparse vegetation cover. We hypothesized …
Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification
VS da Silva, G Salami, MIO da Silva… - Geology, Ecology …, 2020 - Taylor & Francis
Vegetation indices are intended to emphasize the vegetation spectral behavior in relation to
the soil and other terrestrial surface targets. The objective of this study was to evaluate the …
the soil and other terrestrial surface targets. The objective of this study was to evaluate the …
Impact of land use/land cover changes on groundwater resources in Al Ain region of the United Arab Emirates using remote sensing and GIS techniques
Urbanisation causes land degradation problems, including an increased pressure on
natural resources and management of water resources. This study aims to investigate the …
natural resources and management of water resources. This study aims to investigate the …
Improving the forecasting of winter wheat yields in Northern China with machine learning–dynamical hybrid subseasonal-to-seasonal ensemble prediction
Subseasonal-to-seasonal (S2S) prediction of winter wheat yields is crucial for farmers and
decision-makers to reduce yield losses and ensure food security. Recently, numerous …
decision-makers to reduce yield losses and ensure food security. Recently, numerous …
Autumn crop yield prediction using data-driven approaches:-support vector machines, random forest, and deep neural network methods
C Dang, Y Liu, H Yue, JX Qian… - Canadian journal of remote …, 2021 - Taylor & Francis
Accurate prediction of crop yield before harvest is critical to food security and importation.
The calculated ten explanatory factors and autumn crop yield data were used as data …
The calculated ten explanatory factors and autumn crop yield data were used as data …
Land use/land cover change along the Eastern Coast of the UAE and its impact on flooding risk
K Hussein, K Alkaabi, D Ghebreyesus… - … , Natural Hazards and …, 2020 - Taylor & Francis
This study was conducted to investigate the spatiotemporal changes of land use/land cover
(LULC) along the eastern coast of the United Arab Emirates (UAE) over a 20-year period …
(LULC) along the eastern coast of the United Arab Emirates (UAE) over a 20-year period …
Wheat yield forecasting for the Tisza River catchment using landsat 8 NDVI and SAVI time series and reported crop statistics
Due to the increasing global demand of food grain, early and reliable information on crop
production is important in decision making in agricultural production. Remote sensing (RS) …
production is important in decision making in agricultural production. Remote sensing (RS) …
Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms
AJ Prins, A Van Niekerk - Geo-Spatial Information Science, 2021 - Taylor & Francis
LiDAR data are becoming increasingly available, which has opened up many new
applications. One such application is crop type mapping. Accurate crop type maps are …
applications. One such application is crop type mapping. Accurate crop type maps are …