20210815-德邦证券-浙江自然-605080-户外用品“隐形冠军”，产能扩张驱动成长.pdf

#资源达人分享计划#

20210811-首创证券-诺德股份-600110-铜箔龙头王者归来，加速扩张聚焦主业.pdf

The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c

The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c

The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c

The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c

20210809-中泰证券-申菱环境-301018-掘金碳中和系列2：申菱环境—人工环境调控专家，产能扩张开启高成长之路.pdf

20210810-天风证券-Agrify-AGFY.US-高速扩张的室内垂直农场种植解决方案提供商！.pdf

20210809-华西证券-华锐精密-688059-硬质合金数控刀具第一梯队，产能扩张助力腾飞.pdf