GEE——利用Landsat系列数据集进行1984-2023EVI指数趋势分析
简介:
利用Landsat系列数据集进行1984-2023EVI指数趋势分析其主要目的是进行长时序的分析,这里我们选用EVI指数,然后进行了4个月的分析,查看其最后的线性趋势以及分布状况。
EVI指数:
EVI指数(Enhanced Vegetation Index,增强型植被指数)是一种反映植被生长状态的遥感指数,它结合了植被指数的红光波段和近红外波段的信息,可以消除植被覆盖度、土壤背景和大气影响等因素对遥感数据的影响,用于研究植被生长和陆地生态系统的动态变化。EVI指数的计算公式为:EVI=(2.5*(NIR-Red))/(NIR+6*Red-7.5*Blue+1),其中NIR、Red和Blue分别为近红外、红光和蓝光波段反射率。EVI指数的取值范围在-1到1之间,数值越大表示植被覆盖度越高,反之则越低。
函数:
ee.Filter.calendarRange(start, end, field)这个用来筛选指定年月日特定时间的函数
Returns a filter that passes if the object's timestamp falls within the given range of a calendar field. The month
, day_of_year
, day_of_month
, and day_of_week
are 1-based. Times are assumed to be in UTC. Weeks are assumed to begin on Monday as day 1. If end
< start
then this tests for value
>= start
OR value
<= end
, to allow for wrapping.
Arguments:
start (Integer):
The start of the desired calendar field, inclusive.
end (Integer, default: null):
The end of the desired calendar field, inclusive. Defaults to the same value as start.
field (String, default: "day_of_year"):
The calendar field to filter over. Options are: year
, month
, hour
, minute
, day_of_year
, day_of_month
, and day_of_week
.
Returns: Filter
ee.ImageCollection.fromImages(images)从列表中讲影像转化为影像集合
Returns the image collection containing the given images.
Arguments:
images (List):
The images to include in the collection.
Returns: ImageCollection
ee.Algorithms.If(condition, trueCase, falseCase)这个是防止数据集中出现没有影像的情况,然后进行条件筛选
Selects one of its inputs based on a condition, similar to an if-then-else construct.
Arguments:
condition (Object, default: null):
The condition that determines which result is returned. If this is not a boolean, it is interpreted as a boolean by the following rules:
-
Numbers that are equal to 0 or a NaN are false.
-
Empty strings, lists and dictionaries are false.
-
Null is false.
-
Everything else is true.
trueCase (Object, default: null):
The result to return if the condition is true.
falseCase (Object, default: null):
The result to return if the condition is false.
Returns: Object
ui.Chart.feature.groups(features, xProperty, yProperty, seriesProperty)按照矢量组加载时序图表
Generates a Chart from a set of features. Plots the value of a given property across groups of features. Features with the same value of groupProperty will be grouped and plotted as a single series.
-
X-axis = xProperty values.
-
Y-axis = yProperty values.
-
Series = Feature groups, by seriesProperty.
Returns a chart.
Arguments:
features (Feature|FeatureCollection|List<Feature>):
The features to include in the chart.
xProperty (String):
Property to be used as the label for each feature on the x-axis.
yProperty (String):
Property to be plotted on the y-axis.
seriesProperty (String):
Property used to determine feature groups. Features with the same value of groupProperty will be plotted as a single series on the chart.
Returns: ui.Chart
代码:
var counties = ee.FeatureCollection("TIGER/2018/Counties"),
elev = ee.Image("USGS/NED"),
wdpa = ee.FeatureCollection("WCMC/WDPA/current/polygons"),
slr_high = ee.FeatureCollection("users/caitlittlef/Acadia_SLR"),
marsh = ee.FeatureCollection("users/caitlittlef/Acadia_marsh"),
l8 = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2"),
l5 = ee.ImageCollection("LANDSAT/LT05/C02/T1_L2"),
margin = ee.FeatureCollection("users/caitlittlef/Acadia_marsh_slr_margin"),
slr_buff = ee.FeatureCollection("users/caitlittlef/Acadia_SLR_buffer"),
marsh_buff = ee.FeatureCollection("users/caitlittlef/Acadia_marsh_buffer"),
bass_harbor = /* color: #90d614 */ee.Geometry.Point([-68.34446051531992, 44.257472150621076]),
thompson_island = /* color: #90d614 */ee.Geometry.Point([-68.36250246923403, 44.4225955588721]),
babson_creek = /* color: #90d614 */ee.Geometry.Point([-68.32728158629772, 44.37497962957902]),
sch
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