Enhancing FAIR data services in agricultural disaster: A review
The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …
to severe impacts on food security, economic stability, and rural livelihoods. The use of …
Remote sensing of urban poverty and gentrification
In the past few decades, most urban areas in the world have been facing the pressure of an
increasing population living in poverty. A recent study has shown that up to 80% of the …
increasing population living in poverty. A recent study has shown that up to 80% of the …
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
B Feizizadeh, D Omarzadeh… - Journal of …, 2023 - Taylor & Francis
With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …
data from more and more different satellite sensors as well as progress in semi-automated …
Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data
CONTEXT Mapping crop types from satellite images is a promising application in
agricultural systems. However, it is a challenge to automate in-season crop type mapping …
agricultural systems. However, it is a challenge to automate in-season crop type mapping …
Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm
Abstract Space-based crop identification and acreage estimation have played a significant
role in agricultural studies in recent years, due to the development of Remote Sensing …
role in agricultural studies in recent years, due to the development of Remote Sensing …
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer
A timely and detailed crop-specific land cover map can support many agricultural
applications and decision makings. However, in-season crop mapping over a large area is …
applications and decision makings. However, in-season crop mapping over a large area is …
Augmented Normalized Difference Water Index for improved surface water monitoring
We present a comprehensive critical review of well-established satellite remote sensing
water indices and offer a novel, robust Augmented Normalized Difference Water Index …
water indices and offer a novel, robust Augmented Normalized Difference Water Index …
NO2 levels after the COVID-19 lockdown in Ecuador: A trade-off between environment and human health
The negative effects on human health, along with the fatalities caused by the new
coronavirus, have led governments worldwide to take strict measures. However, a reduction …
coronavirus, have led governments worldwide to take strict measures. However, a reduction …
[HTML][HTML] Assessment of land surface temperature and land cover variability during winter: a spatio-temporal analysis of Pabna municipality in Bangladesh
FA Abir, R Saha - Environmental Challenges, 2021 - Elsevier
Monitoring the change of land use and land cover (LULC) and land surface temperature
(LST) at different spatio-temporal scales is vital for evaluating landscape dynamics and …
(LST) at different spatio-temporal scales is vital for evaluating landscape dynamics and …
A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform
Spatiotemporal residual noise in terrestrial earth observation products, often caused by
unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to …
unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to …