Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia
The republic of Tatarstan is one of the most growing state in Russia in terms of
industrialization and modernization with various natural disasters and intense human …
industrialization and modernization with various natural disasters and intense human …
Random Forest for rice yield mapping and prediction using Sentinel-2 data with Google Earth Engine
Accurate information on crop yield prediction is essential for farmers, governments,
scientists, and agricultural agencies to make well-informed decisions. Majority of yield …
scientists, and agricultural agencies to make well-informed decisions. Majority of yield …
Revealing the effect of an industrial flash flood on vegetation area: A case study of Khusheh Mehr in Maragheh-Bonab Plain, Iran
Floods are one of the most significant environmental hazards that can have harmful effects
on agricultural activities and vegetation. The primary objective of this study is to analyze the …
on agricultural activities and vegetation. The primary objective of this study is to analyze the …
[HTML][HTML] Machine learning for yield prediction in Fergana valley, Central Asia
Accurate yield prediction is essential for growers, researchers, governments, the farming
industry, and policymakers for social peace, food safety, security, and sustainable …
industry, and policymakers for social peace, food safety, security, and sustainable …
[HTML][HTML] Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia
It is a novel approach to linking landscape ecological risk (LER) and ecosystem services
(ESs) for environmental management and sustainable development, since it enables real …
(ESs) for environmental management and sustainable development, since it enables real …
Is there spatial dependence or spatial heterogeneity in the distribution of vegetation greening and browning in southeastern China?
J Chen, C Xu, S Lin, Z Wu, R Qiu, X Hu - Forests, 2022 - mdpi.com
Vegetation is an indispensable component of terrestrial ecosystems and plays an
irreplaceable role in mitigation of climate change. Global vegetation changes (ie, greening …
irreplaceable role in mitigation of climate change. Global vegetation changes (ie, greening …
基于高分卫星的冬小麦长势监测及驱动因素分析.
王乐， 樊彦国， 樊博文， 王勇 - Journal of Irrigation & …, 2023 - search.ebscohost.com
[目的] 冬小麦作为我国第二大粮食作物, 掌握其长势情况对于保障我国粮食安全具有积极意义.[
方法] 首先基于Sentinel-2 影像, 利用随机森林的方法提取研究区2018—2020 …
方法] 首先基于Sentinel-2 影像, 利用随机森林的方法提取研究区2018—2020 …
Daily surface reflectance reconstruction using LOWESS on the example of various satellite systems
D Plotnikov, P Kolbudaev, A Matveev… - 2022 VIII …, 2022 - ieeexplore.ieee.org
The study describes the LOWESS methodology based on locally weighted moving-window
regression and its use for the uniform reconstruction of harmonized gap-free seasonal and …
regression and its use for the uniform reconstruction of harmonized gap-free seasonal and …
A method to estimate surface soil moisture and map the irrigated cropland area using sentinel-1 and sentinel-2 data
Considering variations in surface soil moisture (SSM) is essential in improving crop yield
and irrigation scheduling. Today, most remotely sensed soil moisture products have …
and irrigation scheduling. Today, most remotely sensed soil moisture products have …
[HTML][HTML] Monitoring winter wheat growth performance at sub-field scale using multitemporal Sentinel-2 imagery
BB Goh, P King, RL Whetton, SZ Sattari… - International Journal of …, 2022 - Elsevier
A crop growth monitoring system should objectively and reproducibly reflect changes in crop
biophysical properties during the growing season. By monitoring crop growth and …
biophysical properties during the growing season. By monitoring crop growth and …