GEE数据集——汉森全球森林变化数据集Hansen Global Forest Change v1.11 (2000-2023)

Hansen Global Forest Change v1.11 (2000-2023)

对大地遥感卫星图像进行时间序列分析以确定全球森林范围和变化特征的结果。

第一个 "和 "最后一个 "波段是大地遥感卫星光谱波段（红、近红外、SWIR1 和 SWIR2）的第一个和最后一个可用年份的参考多光谱图像。参考复合图像代表了这些波段中每个波段的生长季节质量评估观测数据集的中值观测数据。

请参阅 1.11 版更新的用户说明以及相关期刊文章：Hansen、Potapov、Moore、Hancher 等："21 世纪森林覆盖变化的高分辨率全球地图"。科学》342.6160 (2013)：850-853.

Dataset Availability

2000-01-01T00:00:00 - 2023-12-31T00:00:00

Dataset Provider

Hansen/UMD/Google/USGS/NASA

Collection Snippet

Copied

ee.Image("UMD/hansen/global_forest_change_2023_v1_11")

Resolution

30.92 meters

Bands Table

Name	Description	Min	Max	Units	Wavelength
treecover2000	Tree canopy cover for year 2000, defined as canopy closure for all vegetation taller than 5m in height.	0	100	%
loss	Forest loss during the study period, defined as a stand-replacement disturbance (a change from a forest to non-forest state).
loss Bitmask	* Bit 0: Forest loss during the study period. * 0: Not loss * 1: Loss
gain	Forest gain during the period 2000-2012, defined as the inverse of loss (a non-forest to forest change entirely within the study period). Note that this has not been updated in subsequent versions.
gain Bitmask	* Bit 0: Forest gain during the period 2000-2012. * 0: No gain * 1: Gain
first_b30	Landsat Red cloud-free image composite (corresponding to Landsat 5/7 band 3 and Landsat 8/9 band 4). Reference multispectral imagery from the first available year, typically 2000.				0.63-0.69µm
first_b40	Landsat NIR cloud-free image composite (corresponding to Landsat 5/7 band 4 and Landsat 8/9 band 5). Reference multispectral imagery from the first available year, typically 2000.				0.77-0.90µm
first_b50	Landsat SWIR1 cloud-free image composite (corresponding to Landsat 5/7 band 5 and Landsat 8/9 band 6). Reference multispectral imagery from the first available year, typically 2000.				1.55-1.75µm
first_b70	Landsat SWIR2 cloud-free image composite (corresponding to Landsat 5/7 band 7 and Landsat 8/9 band 7). Reference multispectral imagery from the first available year, typically 2000.				2.09-2.35µm
last_b30	Landsat Red cloud-free image composite (corresponding to Landsat 5/7 band 3 and Landsat 8/9 band 4). Reference multispectral imagery from the last available year, typically the last year of the study period.				0.63-0.69µm
last_b40	Landsat NIR cloud-free image composite (corresponding to Landsat 5/7 band 4 and Landsat 8/9 band 5). Reference multispectral imagery from the last available year, typically the last year of the study period.				0.77-0.90µm
last_b50	Landsat SWIR1 cloud-free image composite (corresponding to Landsat 5/7 band 5 and Landsat 8/9 band 6). Reference multispectral imagery from the last available year, typically the last year of the study period.				1.55-1.75µm
last_b70	Landsat SWIR2 cloud-free image composite (corresponding to Landsat 5/7 band 7 and Landsat 8/9 band 7). Reference multispectral imagery from the last available year, typically the last year of the study period.				2.09-2.35µm
datamask	Three values representing areas of no data, mapped land surface, and permanent water bodies.
datamask Bitmask	* Bits 0-1: Three values representing areas of no data, mapped land surface, and permanent water bodies. * 0: No data * 1: Mapped land surface * 2: Permanent water bodies
lossyear	Year of gross forest cover loss event. Forest loss during the study period, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Encoded as either 0 (no loss) or else a value in the range 1-23, representing loss detected primarily in the year 2001-2023, respectively.	0	23

代码

javascript 复制代码

var geometry = 
    /* color: #d63000 */
    /* displayProperties: [
      {
        "type": "rectangle"
      }
    ] */
    ee.Geometry.Polygon(
        [[[-111.37186963558197, 41.621164801215464],
          [-111.37186963558197, 34.14087733236979],
          [-100.12186963558197, 34.14087733236979],
          [-100.12186963558197, 41.621164801215464]]], null, false);
var image = ee.Image("UMD/hansen/global_forest_change_2023_v1_11")
print(image)

Map.addLayer(image.clip(geometry),{},'sss')

数据引用

Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend.

"High-Resolution Global Maps of 21st-Century Forest Cover Change." Science 342 (15 November): 850-53. 10.1126/science.1244693 Data available on-line at: Global Forest Change.