Glc-fcs30

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August undefined, 2024

WebSep 22, 2024 · The original resolution of FORM-GLC30 and GLC_FCS30 is 30 m, and that of CCI_LC, MCD12Q1, and CNLUCC is 300 m, 500 m, and 1 km, respectively. There are … WebGLC_FCS30 (Zhang et al. Citation 2024) 1985-2024 (five-year interval) 30 m: Landsat: FAO-LCCS: a Annual GLC products. IGBP: International Geosphere–Biosphere Programme; FAO-LCCS: Food and Agriculture Organization of the United Nations-Land Cover Classification System. Table 2.

1985-2024年全球30米地表覆盖精细分类产品V1.0免费下载

WebThis paper uses the GLC_FCS30 (Global Land-Cover product with Fine Classification System) dataset and socio-economic statistical data in Myanmar to conduct the study. The dynamic change process of LUC (land use/cover) was investigated using the land use dynamic degree, land use transfer matrix, and Sankey diagram. WebSep 22, 2024 · The original resolution of FORM-GLC30 and GLC_FCS30 is 30 m, and that of CCI_LC, MCD12Q1, and CNLUCC is 300 m, 500 m, and 1 km, respectively. There are four different upscaling methods of grid center, maximum area, maximum aggregation, and nearest neighbor to amplify the resolution to 1 ∼ 8 km. organizations opposing medicaid reentry act

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WebOct 1, 2024 · Therefore, it is concluded that the GLC_FCS30-2015 product is the first global land-cover dataset that provides a fine classification system (containing 16 global LCCS … WebDec 31, 2024 · In this study, three 30-m GLC products, namely GlobeLand30-2010, GLC_FCS30-2015, and FROM_GLC30-2015, were evaluated in terms of areal consistency and spatial consistency using the Land Use/Cover Area frame statistical Survey (LUCAS) reference dataset over the European Union (EU). Given the limitations of the traditional … WebA major issue with the GLC_FCS30-2024 product was its overestimation of shrubland , especially in southern China (Figure A1 (d-f)). Derived based on clear view Landsat composites and multiple existing land cover products, the CAF-LC30 2024 map appeared to be able to provide more realistic representation of the land cover details at each of the ... how to use ord function in python

Continued Increases of Gross Primary Production in Urban Areas …

GLC_FCS30: global land-cover product with fine ... - NASA/ADS

WebDec 1, 2024 · GLC_FCS30 used multi-temporal adaptive random forest model based on SPECLib and combined with Landsat OLI, CCI_LC and MCD43A4. It contains 30 types of land cover classes ( Liu et al., 2024a ). GlobeLand30 land cover data was established through a classification method which was pixel- and object-based methods with … WebSep 13, 2024 · Based on the GLC_FCS30 dataset, this paper analyzes the temporal and spatial evolution of LUC in Cambodia from 2000 to 2024, as well as its relationship with the country’s economic and social development and climate change using dynamic degree, flow direction diagram, principal component analysis, and multivariate stepwise … organization spannerWeb2024-2001城市最高气温数据、地级市最高气温数据、平均最高气温数据（年、月、日均有 117 个回复 - 5403 次查看本数据为2024-2001城市平均最高气温数据大全，年度、月度、日度均有，数据到2024年，目前为最新最全，数据格式为面板数据，大家可以直接导入到计量软件，可以直接使用，资料附有权威 ... how to use order in css

"WebJun 1, 2024 · Accurate simulations of the spatial and temporal changes in vegetation gross primary production (GPP) play an important role in ecological studies. Previous studies highlighted large uncertainties in GPP datasets based on satellite data with coarse spatial resolutions (>500 m), and implied the need to produce high-spatial-resolution … " - Glc-fcs30

Glc-fcs30

WebMar 13, 2024 · 本研究土地利用数据来自中国科学院空天信息创新研究院全球30 m地表覆盖精细分类产品（glc_fcs30~1985_2024）v1.0[8]，共包含29个地表覆盖类型，本研究为更准确地揭示不同地类形态的空间分异特征，将土地利用类型归并为耕地、林地、草地、水域、建设 … WebAug 28, 2024 · Figure S1: interannual dynamics of urban and global population during 2000-2016, based on the WorldPop datasets. Figure S2: relationships between the impervious surface data of this study with that data of GLC_FCS30 in 2000 (a) and 2015 (/2016) (b) at resolution of 0.5 ° × 0.5 °. The units of both x - and y-axis are percent (%).

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WebJan 17, 2024 · Comparatively, the GLC_FCS30 wetland layer suffered serious underestimation and misclassification problems in these two regions, which obviously misclassified many water-sensitive wetlands … Therefore, it is concluded that the GLC_FCS30-2015 product is the first global land-cover dataset that provides a fine classification system (containing 16 global LCCS land-cover types as well as 14 detailed and regional land-cover types) with high classification accuracy at 30 m.

Weboptimized the GLC_FCS30-2015 product by combining the multi-source auxiliary datasets and prior knowledge of experts, and produced the new global 30-meter land-cover … WebApr 17, 2024 · GLC-FCS 30, with a 30 m resolution, was generated by the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences for 2015 and 2024. It was generated using the reflectance spectrum of the spatial-temporal spectrum library, including 9 first-level land types and 19 second-level land types (Zhang et al. 2024 ).

WebOct 1, 2024 · Lastly, the GLC_FCS30-2015 was validated using three different validation systems (containing different land-cover details) using 44 043 validation samples. The validation results indicated that the GLC_FCS30-2015 achieved an overall accuracy of 82.5 % and a kappa coefficient of 0.784 for the level-0 validation system (9 basic land-cover … WebTherefore, it is concluded that the GLC_FCS30-2015 product is the first global land-cover dataset that provides a fine classification system (containing 16 global LCCS land-cover …

WebTherefore, it is concluded that the GLC_FCS30-2015 product is the first global land-cover dataset that provides a fine classification system (containing 16 global LCCS land-cover types as well as 14 detailed and regional land-cover types) with high classification accuracy at …

WebThe GLC_FCS30 product was used for land-use data. The newly developed global 30 m fine land-cover classification product for 2024 (GLC_FCS30-2024) was used for the baseline data, and a long-term series land-cover dynamic monitoring scheme combining coupled change detection and dynamic update was proposed, using all Landsat satellite data … how to use ordinance in a sentenceWebApr 13, 2024 · 中国1:100万植被数据集介绍本数据集详细反映了我国11个植被类型组、54个植被型的796个群系和亚群系植被单位的分布状况、水平地带性和垂直地带性分布规律，同时反映了我国2000多个植物优势种、主要农作物和经济作物的实际分布状况及优势种与土壤和地面地质的密切关系。 how to use order flow cumulative deltaWebGLC-FCS 30, with a 30 m resolution, was generated by the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences for 2015 and 2024. It was generated using the reflectance spectrum of the spatial-temporal spectrum library, including 9 first-level land types and 19 second-level land types (Zhang et al. 2024 ). how to use ordinalencoderWeb以其课题组2024年最新研发的全球30米地表覆盖精细分类产品（GLC_FCS30-2024）为基准数据，提出了耦合变化检测和动态更新相结合的长时序地表覆盖动态监测方案，利 … organizations participating in giving tuesdayWebOct 22, 2024 · The GLC_FCS30-2015 product, which contains a large variety of land-cover types, was developed in the GEE platform by combining time-series of Landsat imagery, a global prior training dataset from GSPECLib, and local adaptive random forest models [ 16 ]. organization speech typesWebIn the GLC_FCS30-2024 products, tea plants were identified as evergreen forests, rainfed farmland, and irrigated farmland. This is due to a great confusion between forest and farmland in the GLC_FCS30-2024 product Zhang et al. (2024). Download : Download high-res image (765KB) how to use ordereddict in pythonWeb针对这种情况，本文基于igbp分类系统，结合四种被广泛使用的土地覆盖产品(modis-igbp、esa-cci、globeland30和glc_fcs30)和14.6万个全球参考样本点，运用混淆矩阵和线性变换方法，生产了2000年至2024年空间分辨率约1公里的全球混合土地覆盖产品(hybmap)。 how to use orderwise