Global (national) land use data set list

1. geospatial data cloud

(1) 2000 Global Land Cover Plan (glc2000)

(2) ESA globcover)

2. University of Maryland Dataset

Based on AVHRR data, UMD reassembles the recommendation data matrix of the five bands and the difference data, and uses the classification tree method to classify the global land cover. The purpose is to create a data with higher precision than the previous data.

3. mopscmd 12 (modq1 \ modq2)

Time Range: 2001-2012

4. IGBP)

In the early report on IGBP and the international global change research plan, it was noted that the existing global land coverage data was insufficient to support IGBP research, the report states that, although many Earth observation satellite data can be used over the past eight years, the use of this data can generate time series data required by the Institute of global changes. Most important and widely used land data sets and land cover data cannot meet consistent and long-term requirements. Currently, global land cover data is designed to meet the needs of global change research, it is still insufficient to meet feasible resource management plans of countries or internationally. At the IGBP work conference held in toruz, France in 1992, the requirements of the IGBP core scientific plan for global data were discussed, and the current data was evaluated under the leadership of IGBP-DIS, finally, LUCC was the first of several of its core research plans. At the same time, a proposal was made to use AVHRR data to prepare global 1 km land cover feature data, and IGBP-DIS established the land cover Working Group (lcwg ), the AVHRR-based Global 1-kilometer land cover data project was launched. s. geological Survey (USGS), University of Nebraska-Lincoln (unl), undertaken by the University of Lincoln and the European Joint Research Center. The goal is to develop a April 1992-resolution Global Land Cover dataset using the USGS method and AVHRR data from March 1992 to 1km. The classification system adopts the classification system developed by IGBP, divide the world into 17 categories.

5. cold and dry area scientific data center

The China Land Cover dataset includes five products:

1)Glc2000_lucc_1km_china.ascA subset of global land cover data developed by the glc2000 project based on SPOT4 remote sensing data. The data name is glc2000.glc2000. The land cover data of the China region is directly cropped from the global cover data, see the http://www-gvm.jrc.it/glc2000/defaultGLC2000.htm for its data description

2)Igbp_lucc_1km_china.ascA subset of global land cover data supported by IGBP-DIS Based on AVHRR remote sensing data, called igbpdis; igbpdis data preparation, using USGS method, the AVHRR data from April 1992 to March 1992 was used to develop 1km-resolution global land cover data. The classification system adopted the classification system developed by IGBP and divided the world into 17 categories. its development is in continent. Use avhrr12 months to maximize the synthesis of data from the ground up,

3)Modis_lucc_1km_china_2001.ascThe Chinese subset of the land cover data product. The data name is "MDO". The land cover data of the Chinese region of the land cover data is directly cropped from the global cover data. For details, see http://edcdaac.usgs.gov/modis/mod12q1v4.asp.

4)Umd_lucc_1km_china.ascA subset of global land cover data produced by the University of Maryland based on AVHRR data in China. The data name is UMD. The UMD uses the five bands based on AVHRR data and has re-combined the suggested data matrix, the classification tree method is used to classify global land cover. The purpose is to create a data with higher precision than the previous data. The classification system uses the IGBP classification scheme to a large extent.

5)Westdc_lucc_1km_china.ascThe data covered by the Chinese Emy of Sciences (CAS) in 2000 was merged and converted to the yarn (largest area method). Finally, 1km of the land use data products nationwide were obtained, the data name is westdc. Westdc China's regional land cover data is based on the results of the survey of land resources in a county-wide area by the Chinese Emy of Sciences ), finally, we obtained nationwide land use data products. The CAS Resource and Environment Classification System is used.

(To be continued)