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对于我们之前创建的每个变量(森林覆盖、森林损失和森林增加),我们现在将创建代表森林覆盖、损失和增加面积的新变量。为了实现这一点,我们将使用该ee.Image.pixelArea()函数,并且我们必须使用multiply我们的原始变量(例如,treeCover),类似于当您将米转换为厘米时,您将乘以...
For each of the variables we created earlier (forest cover, forest loss and forest gain), we will now create new variables representing theareasof forest cover, loss and gain. To achieve this, we will use the ee.Image.pixelArea() function, and we have to multip...
Our justice analysis of the safe ESBs for surface and groundwater highlights the challenges of (1) multi-level distribution, (2) water insecurity and (3) water quality. The regional surface and groundwater ESBs are generally in the long-term interests of surrounding communities, as they conserve...
Anthony Hickox had been refused permission to shoot in a real church, so he used a matte painting as a background to the altar. When the crew complained of sacrilege, Hickox told them it was no different than the countless Hammer horror films in which Christopher Lee as Dracula rampaged in...
Experience fast and easy access to Maxar’s 125+ petabyte, 20+ year image library of the world’s most advanced Earth Intelligence. Preview MGP Non-Earth imaging (NEI) Maxar’s constellation can image objects in low Earth orbit at less than 6-inch resolution and help track objects across a...
将一个集合转换为一个单一的多波段图像,包含集合中每个图像的所有波段。输出的带子是通过在现有的带子名称前加上它来自的图像ID来命名的(例如:'image1_band1')。 参数。 this:集合(ImageCollection)。 输入的集合。 返回。图像 sample(region, scale, projection, factor, numPixels, seed, dropNulls, tileScale...
Full size image The protosolar nebula (PSN) has δ15N as low as −380‰, while comets have δ15N up to +1000‰ (Fig.1). Both cannot be a substantial source of Earth’s volatiles4,5, in light of Earth’s mantle δ15N of −5‰. The CI and CM chondrite-like materials, which...
Time elapsed since the start of image collection of this mosaic Minutes Bits 0-2: Cloud/ice snow/shadow flag 0: Clear 1: Shadow 2: Undefined 3: Cloud 4: Ice Bit 3: Land/sea 0: Sea 1: Land (pixels with this value may include areas of sea) Bit 4: Radiometric quality SWIR flag...
varforest_type=ee.ImageCollection("projects/sat-io/open-datasets/USFS/national-forest-type");varimage=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...