Zhiliang Zhu mainly focuses on Remote sensing, Land cover, Satellite imagery, Vegetation and Cartography. His studies deal with areas such as Spatial ecology and Disturbance as well as Remote sensing. His Land cover research is under the purview of Land use.
His work in Land use tackles topics such as Thematic map which are related to areas like Mangrove. His Satellite imagery study integrates concerns from other disciplines, such as Mangrove restoration, IUCN Red List, Blue carbon and Geospatial analysis. His biological study spans a wide range of topics, including Impervious surface and Random forest.
Zhiliang Zhu spends much of his time researching Land cover, Remote sensing, Ecosystem, Land use and Forestry. By researching both Land cover and Geological survey, Zhiliang Zhu produces research that crosses academic boundaries. His work in the fields of Satellite imagery overlaps with other areas such as Moderate-resolution imaging spectroradiometer.
Zhiliang Zhu combines subjects such as Climate change and Atmospheric sciences with his study of Ecosystem. His Land use study combines topics in areas such as Carbon sequestration, Forest inventory, Climatology and Ecoregion. His studies deal with areas such as National park, Forest ecology and Spatial variability as well as Forestry.
Zhiliang Zhu mainly focuses on Remote sensing, Atmospheric sciences, Moderate-resolution imaging spectroradiometer, Land cover and Ecosystem. His research in the fields of Field overlaps with other disciplines such as Landscape modeling. His work deals with themes such as Soil carbon, Land use and Greenhouse gas, which intersect with Atmospheric sciences.
As part of his studies on Land cover, Zhiliang Zhu frequently links adjacent subjects like Climatology. His Ecosystem study integrates concerns from other disciplines, such as Productivity and Pinus contorta. He works mostly in the field of Ecosystem model, limiting it down to topics relating to Carbon sequestration and, in certain cases, Restoration ecology, Forest management, Ecosystem respiration, Primary production and Vegetation, as a part of the same area of interest.
His main research concerns Land cover, Climatology, Term, Cellular automaton and Kernel density estimation. His Land cover study frequently draws connections to other fields, such as Remote sensing. His studies in Cellular automaton integrate themes in fields like Cartography and Impervious surface.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
DEVELOPMENT OF A GLOBAL LAND COVER CHARACTERISTICS DATABASE AND IGBP DISCOVER FROM 1 KM AVHRR DATA
Thomas R. Loveland;B.C. Reed;Jesslyn F. Brown;D.O. Ohlen.
International Journal of Remote Sensing (2000)
Status and distribution of mangrove forests of the world using earth observation satellite data
Chandra Giri;E. Ochieng;Larry L. Tieszen;Zhi-Liang Zhu.
Global Ecology and Biogeography (2011)
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Peng Gong;Jie Wang;Le Yu;Yongchao Zhao.
Journal of remote sensing (2013)
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
Chengquan Huang;Samuel N. Goward;Jeffrey G. Masek;Nancy Thomas.
Remote Sensing of Environment (2010)
A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets
Chandra Giri;Zhiliang Zhu;Bradley Reed.
Remote Sensing of Environment (2005)
Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000
Chandra Giri;Bruce Pengra;Zhiliang Zhu;Ashbindu Singh.
Estuarine Coastal and Shelf Science (2007)
Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
Peng Gong;Han Liu;Meinan Zhang;Congcong Li.
Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia†
C. Giri;Z. Zhu;L. L. Tieszen;A. Singh.
Journal of Biogeography (2008)
An analysis of the IGBP global land-cover characterization process
Thomas R. Loveland;Zhiliang Zhu;Donald O. Ohlen;Jesslyn F. Brown.
Photogrammetric Engineering and Remote Sensing (1999)
Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine
Huabing Huang;Yanlei Chen;Nicholas Clinton;Jie Wang.
Remote Sensing of Environment (2017)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: