Deep learning models for the classification of crops in aerial imagery: A review
In recent years, the use of remote sensing data obtained from satellite or unmanned aerial
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …
Monitoring cropland abandonment with Landsat time series
Cropland abandonment is a widespread land-use change, but it is difficult to monitor with
remote sensing because it is often spatially dispersed, easily confused with spectrally similar …
remote sensing because it is often spatially dispersed, easily confused with spectrally similar …
Mapping abandoned farmland in China using time series MODIS NDVI
X Zhu, G Xiao, D Zhang, L Guo - Science of the Total Environment, 2021 - Elsevier
Farmland abandonment is an important aspect of land cover land use (LCLU) that has both
positive and negative effects on the environment. There is limited information regarding the …
positive and negative effects on the environment. There is limited information regarding the …
Land use/land cover changes and the relationship with land surface temperature using Landsat and MODIS imageries in Cameron Highlands, Malaysia
Mountainous regions are more sensitive to climatic condition changes and are susceptible
to recent increases in temperature. Due to urbanization and land use/land cover (LULC) …
to recent increases in temperature. Due to urbanization and land use/land cover (LULC) …
Assessing the accuracy of multiple classification algorithms for crop classification using Landsat-8 and Sentinel-2 data
A Chakhar, D Ortega-Terol, D Hernández-López… - Remote sensing, 2020 - mdpi.com
The launch of Sentinel-2A and B satellites has boosted the development of many
applications that could benefit from the fine resolution of the supplied information, both in …
applications that could benefit from the fine resolution of the supplied information, both in …
Understanding the spatiotemporal patterns of seasonal, annual, and consecutive farmland abandonment in China with time‐series MODIS images during the period …
L Li, Y Pan, R Zheng, X Liu - Land Degradation & Development, 2022 - Wiley Online Library
Farmland abandonment has substantial impacts on the environment, and its impacts vary
with the duration of farmland abandonment. While consecutive and annual farmland …
with the duration of farmland abandonment. While consecutive and annual farmland …
Land abandonment in Poland after the collapse of socialism: Over a quarter of a century of increasing tree cover on agricultural land
Land abandonment is an important topic of discussion in many European countries but is
particularly relevant for Central and Eastern Europe. When analyzing this issue, a major …
particularly relevant for Central and Eastern Europe. When analyzing this issue, a major …
Role of geospatial technology in understanding urban green space of Kalaburagi city for sustainable planning
Mapping and monitoring of the urban green space (UGS) are necessary for improving the
quality of urban life. Mapping the UGS is the first step in sustainable urban planning …
quality of urban life. Mapping the UGS is the first step in sustainable urban planning …
Monitoring of Cropland Abandonment Based on Long Time Series Remote Sensing Data: A Case Study of Fujian Province, China
J Wu, S Jin, G Zhu, J Guo - Agronomy, 2023 - mdpi.com
Farmland is the basis for human survival and development. The phenomenon of cropland
abandonment has seriously affected national agricultural production and food security. In …
abandonment has seriously affected national agricultural production and food security. In …
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas
In complex heterogeneous areas, it is difficult to map crops with high accuracy using only
high spatial resolution or only high spectral resolution remote sensing data. Because the …
high spatial resolution or only high spectral resolution remote sensing data. Because the …