Error: image clipToBoundsAndScale, argument 'input'

There is a very large number of errors here, that is, we want to download this period GEDI, So we have to inlay first , Re cut , Instead of cutting directly . All new students will have this problem , So we try to analyze the images in different periods .

This dataset ：

Global ecosystem dynamics survey （GEDI） The purpose of the task is to describe the structure and dynamics of the ecosystem , In order to fundamentally improve the quantification and understanding of the earth's carbon cycle and biodiversity . Attached to the International Space Station GEDI The instrument collects North latitudes all over the world 51.6° And south latitude 51.6° Data between , The highest resolution and densest sampling of the earth's three-dimensional structure .

GEDI Of 2A Grade I geographical location, altitude and altitude index products （GEDI02_A） Mainly by 100 A relative height （RH） Index composition , Together they describe GEDI Collected waveforms .

The original GEDI02_A The product is a table of points , Spatial resolution （ Average footprint ） by 25 rice . Data sets LARSE/GEDI/GEDI02_A_002_MONTHLY It's primitive GEDI02_A Raster version of the product . Raster images are organized as monthly synthesis of individual tracks of the corresponding month . Only the root level relative humidity value and its related quality marks and metadata are retained as grid bands . Every GEDI02_A_002 Grid has 136 Band .

GEDI L2A Vector data can be in the table set LARSE/GEDI/GEDI02_A_002 Find .

GEDI L4B Biomass data can be found in images LARSE/GEDI/GEDI04_B_002 Find .

rh97

Relative height metrics at 97%

-213

213

Meters

 This dataset is in the public domain and is available without restriction on use and distribution. See [NASA's Earth Science Data & Information Policy] (Data & Information Policy | Science Mission Directorate) for additional information.

See the user guide for more information .

ID: 2ZCDDKXCSJ2JSOY4O3IPC7HW

Phase: Failed

Runtime: 0s (started 2022-07-25 14:21:16 +0800)

Attempted 1 time

Error: Image.clipToBoundsAndScale, argument 'input': Invalid type. Expected type: Image<unknown bands>. Actual type: ImageCollection. (Error code: 3)

Error code ：

var geometry =     /* color: #d63000 */    /* displayProperties: [      {        "type": "rectangle"      }    ] */    ee.Geometry.Polygon(        [[[77.14471820849343, 13.084530890384196],          [77.14471820849343, 12.9614377112641],          [77.33835224169655, 12.9614377112641],          [77.33835224169655, 13.084530890384196]]], null, false);var GEDI = ee.ImageCollection('LARSE/GEDI/GEDI02_A_002_MONTHLY')        .filter(ee.Filter.date('2019-06-01','2021-12-31'))        .filterBounds(geometry)        .select('rh98');       var GEDI_bands = GEDI.map(function(img){return img.clip(geometry)})var gediVis = {  min: 1,  max: 60,  palette: 'darkred,red,orange,green,darkgreen',};Map.addLayer(GEDI_bands,gediVis, 'rh98')Export.image.toDrive({image:GEDI_bands});

Correct code ：

var geometry =     /* color: #d63000 */    /* displayProperties: [      {        "type": "rectangle"      }    ] */    ee.Geometry.Polygon(        [[[77.14471820849343, 13.084530890384196],          [77.14471820849343, 12.9614377112641],          [77.33835224169655, 12.9614377112641],          [77.33835224169655, 13.084530890384196]]], null, false);// Here, we must mosaic the image first and then cut it var GEDI = ee.ImageCollection('LARSE/GEDI/GEDI02_A_002_MONTHLY')        .filter(ee.Filter.date('2019-06-01','2021-12-31'))        .filterBounds(geometry)        .select('rh98').mosaic().clip(geometry);       //var GEDI_bands = GEDI.map(function(img){return img.clip(geometry)})var gediVis = {  min: 1,  max: 60,  palette: 'darkred,red,orange,green,darkgreen',};Map.addLayer(GEDI,gediVis, 'rh98')Export.image.toDrive({image:GEDI});

result ： 

 

 

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