Google Earth Engine（GEE）——美国国家森林141种类型

美国国家森林类型和组别
森林类型
该数据集描绘了美国全国和阿拉斯加的141种森林类型。这些数据来自于2002年和2003年生长季节的MODIS综合图像，并结合其他近100个地理空间数据层，包括海拔、坡度、坡度和生态区域。该数据集是由美国林业局森林资源调查与分析和森林健康监测项目以及美国林业局地理空间技术与应用中心合作开发的。该数据集的目的是描绘美国森林覆盖的广泛分布模式，并为国家规模的建模项目提供输入。前言 – 床长人工智能教程

森林群体
该数据集描绘了美国毗连地区的28个森林类型组。这些数据来自于2002年和2003年生长季节的MODIS综合图像，并结合其他近100个地理空间数据层，包括海拔、坡度、坡度、生态区域和PRISM气候数据。该数据集是由美国林业局森林资源清查与分析和森林健康监测项目以及美国林业局地理空间技术与应用中心合作开发的。森林类型组是森林类型(Eyre 1980)的汇总，是合乎逻辑的生态分组。有28个国家森林类型组。使用从6552个地块中随机选择的独立保持来评估类别准确性。全国范围内森林类型组的总体准确性为65%。

你可以在这里获得详细的森林类型组元数据样本USDA Forest Service FSGeodata Clearinghouse - Forest Type Groups of the United States

Earth Engine snippet: Forest Type

var forest_type = ee.ImageCollection("projects/sat-io/open-datasets/USFS/national-forest-type");var image = forest_type.mosaic()
Map.setCenter(-102.22, 51.47,3)image = image.remap([101,   102,    103,    104,    105,    121,    122,    123,    124,    125,    126,    127,    141,    142,    161,    162,    163,    164,    165,    166,    167,    168,    181,    182,    183,    184,    185,    201,    202,    221,    222,    223,    224,    241,    261,    262,    263,    264,    265,    266,    267,    268,    269,    270,    271,    281,    301,    304,    305,    321,    341,    342,    361,    362,    363,    364,    365,    366,    367,    368,    371,    381,    382,    383,    384,    385,    401,    402,    403,    404,    405,    406,    407,    409,    501,    502,    503,    504,    505,    506,    507,    508,    509,    510,    511,    512,    513,    514,    515,    519,    520,    601,    602,    605,    606,    607,    608,    701,    702,    703,    704,    705,    706,    707,    708,    709,    722,    801,    802,    803,    805,    807,    809,    901,    902,    904,    911,    912,    921,    922,    923,    924,    925,    926,    931,    932,    941,    942,    943,    951,    952,    953,    954,    955,    981,    982,    989,    991,    992,    993,    995,],
[1, 2,  3,  4,  5,  6,  7,  8,  9,  10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100,    101,    102,    103,    104,    105,    106,    107,    108,    109,    110,    111,    112,    113,    114,    115,    116,    117,    118,    119,    120,    121,    122,    123,    124,    125,    126,    127,    128,    129,    130,    131,    132,    133,    134,    135,    136,    137,    138,    139,    140,    141])var dict = {"names": ["Jack pine","Red pine","Eastern white pine","Eastern White pine / Eastern hemlock","Eastern hemlock","Balsam fir","White spruce","Red spruce","Red spruce / balsam fir","Black spruce","Tamarack","Northern white-cedar","Longleaf pine","Slash pine","Loblolly pine","Shortleaf pine","Virginia pine","Sand pine","Table-mountain pine","Pond pine","Pitch pine","Spruce pine","Eastern redcedar","Rocky Mountain juniper","Western juniper","Juniper woodland","Pinyon juniper woodland","Douglas-fir","Port-Orford-cedar","Ponderosa pine","Incense cedar","Jeffrey pine / Coulter pine / bigcone Douglas-fir","Sugar pine","Western white pine","White fir","Red fir","Noble fir","Pacific silver fir","Engelmann spruce","Engelmann spruce / subalpine fir","Grand fir","Subalpine fir","Blue spruce","Mountain hemlock","Alaska-yellow-cedar","Lodgepole pine","Western hemlock","Western redcedar","Sitka spruce","Western larch","Redwood","Giant sequoia","Knobcone pine","Southwest white pine","Bishop pine","Monterey pine","Foxtail pine / bristlecone pine","Limber pine","Whitebark pine","Misc. western softwoods","California mixed conifer","Scotch pine","Australian pine","Other exotic softwoods","Norway Spruce","Introduced larch","Eastern white pine / N. red oak / white ash","Eastern redcedar / hardwood","Longleaf pine / oak","Shortleaf pine / oak","Virginia pine / southern red oak","Loblolly pine / hardwood","Slash pine / hardwood","Other pine / hardwood","Post oak / blackjack oak","Chestnut oak","White oak / red oak / hickory","White oak","Northern red oak","Yellow-poplar / white oak / N. red oak","Sassafras / persimmon","Sweetgum / yellow-poplar","Bur oak","Scarlet oak","Yellow-poplar","Black walnut","Black locust","Southern scrub oak","Chestnut oak / black oak / scarlet oak","Red maple / oak","Mixed upland hardwoods","Swamp chestnut oak / cherrybark oak","Sweetgum / Nuttall oak / willow oak","Overcup oak / water hickory","Atlantic white-cedar","Baldcypress / water tupelo","Sweetbay / swamp tupelo / red maple","Black ash / American elm / red maple","River birch / sycamore","Cottonwood","Willow","Sycamore / pecan / American elm","Sugarberry / hackberry / elm / green ash","Silver maple / American elm","Red maple / lowland","Cottonwood / willow","Oregon ash","Sugar maple / beech / yellow birch","Black cherry","Cherry / ash / yellow-poplar","Hard maple / basswood","Elm / ash / locust","Red maple / upland","Aspen","Paper birch","Balsam poplar","Red alder","Bigleaf maple","Gray pine","California black oak","Oregon white oak","Blue oak","Deciduous oak woodland","Evergreen oak woodland","Coast live oak","Canyon live oak / interior live oak","Tanoak","Califonia laurel","Giant chinkapin","Pacific madrone","Mesquite Woodland","Cercocarpus woodland","Intermountain maple woodland","Misc. western hardwood woodlands","Sabal palm","Mangrove","Other tropical","Paulownia","Melaluca","Eucalyptus","Other exotic hardwoods",],"colors": ["#ccaf89","#ccaa87","#cca884","#cca582","#cca082","#cc9b7f","#cc987c","#cc937c","#cc8e7a","#cc8977","#cc8275","#cc7c75","#cc7772","#cc7070","#cc7075","#cc6d77","#cc6b7a","#cc687c","#cc6882","#cc6684","#cc6689","#cc608c","#cc6091","#cc5e93","#cc5b98","#cc599b","#cc59a0","#cc56a3","#cc54a8","#cc51aa","#333333","#cc51af","#cc4fb2","#cc4cb7","#cc49ba","#cc49bc","#cc44c1","#cc44c1","#cc42c6","#cc3fc9","#cc3dc9","#cc3dcc","#cc3acc","#cc38cc","#cc35cc","#cc33cc","#cc33cc","#cc30cc","#c92dcc","#c92bce","#c628ce","#c128ce","#bf28cc","#545454","#565656","#565656","#ba26cc","#b726cc","#b223cc","#ad23c9","#a823c6","#a321c6","#5b5b5b","#9b21c4","#9321c4","#5b5b5b","#8e21c1","#8721c1","#7f1ec1","#771ec1","#701cbf","#661cbc","#5b1cbc","#511cba","#4719ba","#3d19ba","#3019ba","#2316b5","#1616b5","#1621b5","#162db2","#143ab2","#1444af","#144caf","#1156ad","#1160aa","#1168aa","#1170aa","#1175aa","#0f7ca8","#0f82a5","#0f87a5","#0c8ca3","#0c8ca3","#0c91a3","#0c93a0","#0c939e","#0c939e","#0a969b","#0a969b","#0a9698","#0a9698","#0a9396","#0a9393","#079393","#079193","#079191","#078e8e","#058c8c","#058c8c","#058c8c","#058989","#058787","#058784","#058484","#028282","#028282","#02827c","#027c7c","#027c77","#007c77","#007a75","#007770","#00756d","#00756b","#007266","#007260","#00705b","#006d59","#006d51","#006b4c","#006b44","#00683d","#006633","#006626","#00631c","#f9f9d3","#f9f9e0","#f9f9e5","#00600c","#006000",]};//Map.setCenter(-97.61655457157725,55.6280720462063,4)// Add image to the map
Map.addLayer(image, {min:1, max:141, palette:dict['colors']}, 'US Tree Species')
/
var legend = ui.Panel({style: {position: 'middle-right',padding: '8px 15px'}
});// Create and add the legend title.
var legendTitle = ui.Label({value: 'US National Forest Types',style: {fontWeight: 'bold',fontSize: '18px',margin: '0 0 4px 0',padding: '0'}
});
legend.add(legendTitle);var loading = ui.Label('Loading legend...', {margin: '2px 0 4px 0'});
legend.add(loading);// Creates and styles 1 row of the legend.var makeRow = function(color, name) {// Create the label that is actually the colored box.var colorBox = ui.Label({style: {backgroundColor: color,// Use padding to give the box height and width.padding: '8px',margin: '0 0 4px 0'}});// Create the label filled with the description text.var description = ui.Label({value: name,style: {margin: '0 0 4px 6px'}});return ui.Panel({widgets: [colorBox, description],layout: ui.Panel.Layout.Flow('horizontal')});
};var palette = dict['colors'];var names = dict['names'];loading.style().set('shown', false);for (var i = 0; i < names.length; i++) {legend.add(makeRow(palette[i], names[i]));}// Print the panel containing the legend
print(legend);var Dark=
[{"featureType": "all","elementType": "labels","stylers": [{"visibility": "off"}]},{"featureType": "all","elementType": "labels.text","stylers": [{"visibility": "off"}]},{"featureType": "all","elementType": "labels.text.fill","stylers": [{"saturation": 36},{"color": "#000000"},{"lightness": 40}]},{"featureType": "all","elementType": "labels.text.stroke","stylers": [{"visibility": "on"},{"color": "#000000"},{"lightness": 16}]},{"featureType": "all","elementType": "labels.icon","stylers": [{"visibility": "off"}]},{"featureType": "administrative","elementType": "geometry","stylers": [{"visibility": "on"}]},{"featureType": "administrative","elementType": "geometry.fill","stylers": [{"color": "#000000"},{"lightness": 20}]},{"featureType": "administrative","elementType": "geometry.stroke","stylers": [{"color": "#000000"},{"lightness": 17},{"weight": 1.2}]},{"featureType": "administrative","elementType": "labels","stylers": [{"visibility": "off"}]},{"featureType": "administrative","elementType": "labels.text","stylers": [{"visibility": "off"}]},{"featureType": "landscape","elementType": "geometry","stylers": [{"color": "#000000"},{"lightness": 20}]},{"featureType": "landscape","elementType": "labels.text","stylers": [{"visibility": "off"}]},{"featureType": "poi","elementType": "geometry","stylers": [{"color": "#000000"},{"lightness": 21}]},{"featureType": "poi","elementType": "labels.text","stylers": [{"visibility": "off"}]},{"featureType": "road","elementType": "geometry.fill","stylers": [{"visibility": "simplified"},{"color": "#8a4040"}]},{"featureType": "road","elementType": "geometry.stroke","stylers": [{"visibility": "on"},{"color": "#ffffff"}]},{"featureType": "road","elementType": "labels.text","stylers": [{"visibility": "off"}]},{"featureType": "road.highway","elementType": "geometry.fill","stylers": [{"color": "#000000"},{"lightness": 17}]},{"featureType": "road.highway","elementType": "geometry.stroke","stylers": [{"color": "#000000"},{"lightness": 29},{"weight": 0.2}]},{"featureType": "road.arterial","elementType": "geometry","stylers": [{"color": "#000000"},{"lightness": 18}]},{"featureType": "road.arterial","elementType": "geometry.fill","stylers": [{"color": "#ffffff"},{"visibility": "on"}]},{"featureType": "road.local","elementType": "geometry","stylers": [{"color": "#000000"},{"lightness": 16}]},{"featureType": "road.local","elementType": "geometry.fill","stylers": [{"visibility": "on"},{"color": "#faf2f2"}]},{"featureType": "transit","elementType": "geometry","stylers": [{"color": "#000000"},{"lightness": 19}]},{"featureType": "transit","elementType": "labels","stylers": [{"visibility": "off"}]},{"featureType": "transit","elementType": "labels.text","stylers": [{"visibility": "off"}]},{"featureType": "water","elementType": "geometry","stylers": [{"color": "#b4bcc2"},{"lightness": 17}]},{"featureType": "water","elementType": "labels","stylers": [{"visibility": "on"}]},{"featureType": "water","elementType": "labels.text","stylers": [{"visibility": "off"}]}
]
Map.setOptions('Dark', {Dark
: Dark
})

Sample code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-NATIONAL-FOREST-TYPE

Earth Engine snippet: Forest Group

var forest_group = ee.ImageCollection("projects/sat-io/open-datasets/USFS/national-forest-group");

Sample code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-NATIONAL-FOREST-GROUP

License¶

Although these data have been used by the USDA Forest Service, the USDA Forest Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data are not legal documents and are not intended to be used as such.

Created by: USDA Forest Service-Forest Inventory and Analysis (FIA) Program & Geospatial Technology and Applications Center (GTAC)

Curated in GEE by : Samapriya Roy

Keywords: forest type, forest group, forest, remote sensing

Last updated on GEE: 2022-10-25

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