Global Land Surface Water Dataset at 30m Resolution (2010)

Chen, Jun; LIAO, Anping; Chen, Lijun; ZHANG, Hongwei; HE, Chaoying; PENG, Shu; Wu, Hao; ZHANG, Weiwei; LI, Ran; ZHENG, Xinyan; Yang, Mei; Lü, Miao; Lü, Nan; LIU, Jiyu; Kang, Rui; XING, Huaqiao; Zhu, Wu; LIU, Lifen; Han, Gang; Jing, Wang; YANG, Ailing; SUN, Limei; Song, Hao; CHEN, Weiping; ZHOU, Xiaomin; Xia, Lu; JIANG, Hongbing; HUO, Jian; Zhang, Yan; LIU, Wudi; LI, Yuxian; ZHAI, Liang; SANG, Huiyong

doi:10.3974/geodb.2014.02.01.v1

Cited by 2 publications

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“…In order to separately investigate the urbanization effects on climate change in Yunnan Province, this study employed the 30‐m‐resolution global artificial terrestrial surface data set in 2010 (GlobeLand30_ATS2010) (Chen et al ., ), and Figure shows the artificial terrestrial surface (i.e. red pixels) in Yunnan Province.…”

Section: Resultsmentioning

confidence: 99%

“…The relationship between climate change and the LUCC represented by the NDVI data is examined through regression analysis. In addition, to separately investigate the urbanization effects on climate change in the study area, the 30‐m‐resolution global artificial terrestrial surface data set in 2010 (GlobeLand30_ATS2010) is adopted in this study (Chen et al ., ). This data set includes land use types of residential land, industrial land, commercial land, transportation land and so on, which can reflect the impacts of various human activities on the LUCC.…”

Section: Methodsmentioning

confidence: 97%

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Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China

Shi

2018

Intl Journal of Climatology

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This article analysed the characteristics of climate change (including temporal trend and spatial distribution of temperature and precipitation) in Yunnan Province, China, for the period 1961–2011. This article investigated the impacts of elevation and geographical location on climate change, and the statistical equations to estimate the annual temperature and precipitation as well as their changing rates were established based on longitude, latitude and elevation. This article preliminarily presented the possible impacts of urbanization through analysing the relationship between climate change and land use/cover change.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 97%

Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China

Shi

2018

Intl Journal of Climatology

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“…GlobeLand30 is a 30-m resolution global land cover (GLC) data product that was developed by the National Geomatics Center of China using a Pixel-Object-Knowledge (POK) approach (Chen et al 2015), and its 2000 and 2010 versions were released in 2014, with 2020 version just released (Chen et al 2015;Chen, Liao, and Chen et al 2014a, 2014b, 2017a, 2017b. Such finer resolution GLC datasets provide more details of land cover patterns, and permit the detection of land cover changes at the scale of most human land activities.…”

Section: Introductionmentioning

confidence: 99%

Collaborative validation of GlobeLand30: Methodology and practices

Chen

et al. 2021

Geo-spatial Information Science

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30-m Global Land Cover (GLC) data products permit the detection of land cover changes at the scale of most human land activities, and are therefore used as fundamental information for sustainable development, environmental change studies, and many other societal benefit areas. In the past few years, increasing efforts have been devoted to the accuracy assessment of GlobeLand30 and other finer-resolution GLC data products. However, most of them were conducted either within a limited percentage of map sheets selected from a global scale or in some individual countries (areas), and there are still many areas where the uncertainty of 30-m resolution GLC data products remains to be validated and documented. In order to promote a comprehensive and collaborative validation of 30-m GLC data products, the GEO Global Land Cover Community Activity had organized a project from 2015 to 2017, to examine and explore its major problems, including the lack of international agreed validation guidelines and on-line tools for facilitating collaborative validation activities. With the joint effort of experts and users from 30 GEO member countries or participating organizations, a technical specification for 30m GLC validation was developed based on the findings and experiences. An on-line validation tool, GLCVal, was developed by integrating land cover validation procedures with the service computing technologies. About 20 countries (regions) have completed the accuracy assessment of GlobeLand30 for their territories with the guidance of the technical specification and the support of GLCVal.

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Global Land Surface Water Dataset at 30m Resolution (2010)

Cited by 2 publications

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Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China

Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China

Collaborative validation of GlobeLand30: Methodology and practices

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