Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
How to assess the accuracy of the individual tree-based forest inventory derived from remotely sensed data: A review
Effort has been devoted to automatic or semi-automatic individual tree detection and crown
delineation from remotely sensed data, aiming at the effective creation of forest inventory, to …
delineation from remotely sensed data, aiming at the effective creation of forest inventory, to …
Deep convolutional neural network for large-scale date palm tree map** from UAV-based images
Large-scale map** of date palm trees is vital for their consistent monitoring and
sustainable management, considering their substantial commercial, environmental, and …
sustainable management, considering their substantial commercial, environmental, and …
Vulnerability of vegetation activities to drought in Central Asia
H Deng, Y Yin, X Han - Environmental Research Letters, 2020 - iopscience.iop.org
Central Asia (CA) is a continental region that is sensitive to water conditions. Hence, drought
has one of the primary effects on the vegetation activities in CA and could vary with climate …
has one of the primary effects on the vegetation activities in CA and could vary with climate …
Cosegmentation for object-based building change detection from high-resolution remotely sensed images
This paper presents a cosegmentation-based method for building change detection from
multitemporal high-resolution (HR) remotely sensed images, providing a new solution to …
multitemporal high-resolution (HR) remotely sensed images, providing a new solution to …
Normalized difference vegetation change index: A technique for detecting vegetation changes using Landsat imagery
K Rokni, TA Musa - Catena, 2019 - Elsevier
Vegetation indices have been developed to characterize and extract the Earth's vegetation
cover from space using satellite images. For detection of vegetation changes, temporal …
cover from space using satellite images. For detection of vegetation changes, temporal …
The spatial distribution and temporal variation of desert riparian forests and their influencing factors in the downstream Heihe River basin, China
Desert riparian forests are the main restored vegetation community in Heihe River basin.
They provide critical habitats and a variety of ecosystem services in this arid environment …
They provide critical habitats and a variety of ecosystem services in this arid environment …
Sustainable management of river oases along the Tarim River (SuMaRiO) in Northwest China under conditions of climate change
C Rumbaur, N Thevs, M Disse, M Ahlheim… - Earth System …, 2015 - esd.copernicus.org
The Tarim River basin, located in **njiang, NW China, is the largest endorheic river basin in
China and one of the largest in all of Central Asia. Due to the extremely arid climate, with an …
China and one of the largest in all of Central Asia. Due to the extremely arid climate, with an …
Distribution pattern of Tugai forests species diversity and their relationship to environmental factors in an arid area of China
Y Zeng, C Zhao, ZW Kundzewicz, G Lv - PLoS One, 2020 - journals.plos.org
Ecological restoration of degraded riparian Tugai forests is a key driver to combat
desertification in arid regions. Previous studies have focused mainly on changes in …
desertification in arid regions. Previous studies have focused mainly on changes in …
The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring
Insect defoliation causes forest disturbances with complex spatial dynamics. In order to
monitor affected areas, decision makers seek but often lack information with high spatial and …
monitor affected areas, decision makers seek but often lack information with high spatial and …