Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions

D Wen, X Huang, F Bovolo, J Li, X Ke… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
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 …

How to assess the accuracy of the individual tree-based forest inventory derived from remotely sensed data: A review

D Yin, L Wang - International Journal of Remote Sensing, 2016 - Taylor & Francis
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 …

Deep convolutional neural network for large-scale date palm tree map** from UAV-based images

MBA Gibril, HZM Shafri, A Shanableh, R Al-Ruzouq… - Remote Sensing, 2021 - mdpi.com
Large-scale map** of date palm trees is vital for their consistent monitoring 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 …

Cosegmentation for object-based building change detection from high-resolution remotely sensed images

P **ao, M Yuan, X Zhang, X Feng… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents a cosegmentation-based method for building change detection from
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 …

The spatial distribution and temporal variation of desert riparian forests and their influencing factors in the downstream Heihe River basin, China

J Ding, W Zhao, S Daryanto, L Wang… - Hydrology and Earth …, 2017 - hess.copernicus.org
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 …

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 …

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 …

The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring

P Gärtner, M Förster, B Kleinschmit - Remote Sensing of Environment, 2016 - Elsevier
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 …