Journal ArticleDOI
Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia
Munkhnasan Lamchin,Jong Yeol Lee,Woo-Kyun Lee,Eun Jung Lee,Moonil Kim,Chul Hee Lim,Hyun Ah Choi,So Ra Kim +7 more
TLDR
In this article, the authors used Decision Tree (DT) approach to assess the land cover change and desertification of the Hogno Khaan protected area in 1990, 2002, and 2011.About:
This article is published in Advances in Space Research.The article was published on 2016-01-01. It has received 116 citations till now. The article focuses on the topics: Desertification & Land cover.read more
Citations
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Journal ArticleDOI
Monitoring the long-term desertification process and assessing the relative roles of its drivers in Central Asia
Liangliang Jiang,Guli Jiapaer,Anming Bao,Alishir Kurban,Hao Guo,Guoxiong Zheng,Philippe De Maeyer +6 more
TL;DR: Based on an analytical hierarchy process, the spatiotemporal features of the desertification process were surveyed from 1982 to 2012 using four indicators as mentioned in this paper, which revealed significant desertification expansion in the western part of Central Asia, with the most severe desertification occurring in eastern Xinjiang Province and the Ustyurt Plateau.
Journal ArticleDOI
Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms
TL;DR: Overall, the random forest algorithm is a good first choice method for land-cover classification in this study area, and the elevation and some spectral indices, such as the NDVI, MSAVI2 and MNDWI, should be used as variables to improve the overall accuracy.
Journal ArticleDOI
Dynamic monitoring of aeolian desertification based on multiple indicators in Horqin Sandy Land, China.
TL;DR: Moderate Resolution Imaging Spectroradiometer time series data and products are introduced to invert the monitoring indicators of aeolian desertified land (ADL) and provide a new method for monitoring ADL and useful information for controlling and managing aeolia desertification.
Journal ArticleDOI
Satellite Monitoring the Spatial-Temporal Dynamics of Desertification in Response to Climate Change and Human Activities across the Ordos Plateau, China
TL;DR: This study quantitatively assessed the desertification status over the past 15 years since 2000 and the effect of human activities, especially the ecological recovery projects implemented in northern China, was the main cause of desertification reversion in this region.
Journal ArticleDOI
Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau
Haishuo Wei,Juanle Wang,Kai Cheng,Ge Li,Altansukh Ochir,Davaadorj Davaasuren,Sonomdagva Chonokhuu +6 more
TL;DR: This study provides a technical selection reference for the investigation of desertification of different zones on the Mongolian plateau and indicates that the Albedo-NDVI model is suitable for areas with a high vegetation cover or a high forest ratio, whilst the Al Bedo-MSAVI model are suitable for area with relatively low vegetation cover.
References
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Journal ArticleDOI
Red and photographic infrared linear combinations for monitoring vegetation
TL;DR: In this article, the relationship between various linear combinations of red and photographic infrared radiances and vegetation parameters is investigated, showing that red-IR combinations to be more significant than green-red combinations.
Book
Boundary layer climates
TL;DR: This modern climatology textbook explains those climates formed near the ground in terms of the cycling of energy and mass through systems.
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Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview
TL;DR: The 6S code has still limitations; it cannot handle spherical atmosphere and as a result, it cannot be used for limb observations, and the decoupling the authors are using for absorption and scattering effects does not allow to use the code in presence of strong absorption bands.
MonographDOI
Plants and Microclimate, A Quantitative Approach to Environmental Plant Physiology
TL;DR: A quantitative approach to plant-environment interactions is presented in this paper, where a quantitative approach is used to quantify the plant's environment interactions, including radiation, heat, mass and momentum transfer, energy balance and evaporation.