简介：
在gee中有三种错误，一种就是系统错误，也就是我们看到的会在JavaScript code editor中出现的错误，也就是在程序还没有启动之前就会提示的错误，而客户端错误则主要是会提示一些在代码过程中的错误，比如说没出现过的变量名称，另外就是服务器出席那的错误，也就是说，你的代码和你索要运行的结果之间的错误，比如说，原本这个影像中是没有这个波段的，但是你却使用了，或者说你输入的波段名称不对而导致的错误。所有的这里显示的错误就如下面这张图所显示的。
bug解决方案：
这里针对debug的解决方法无非就是限制性输出，也就是减少控制台输出的量，另外我们会使用到下面的一些函数来实现这个功能。
函数：
ee.Filter(filter)
Constructs a new filter. This constructor accepts the following args:
- Another filter.
- A list of filters (which are implicitly ANDed together).
- A ComputedObject returning a filter. Users shouldn't be making these; they're produced by the generator functions below.
Arguments:
filter (Filter|List<Object>|Object, optional):
Optional filter to add.
Returns: Filter
first()
Returns the first entry from a given collection.
Arguments:
this:collection (FeatureCollection):
The collection from which to select the first entry.
Returns: Element
limit(max, property, ascending)
Limit a collection to the specified number of elements, optionally sorting them by a specified property first.
Returns the limited collection.
Arguments:
this:collection (Collection):
The Collection instance.
max (Number):
The number to limit the collection to.
property (String, optional):
The property to sort by, if sorting.
ascending (Boolean, optional):
Whether to sort in ascending or descending order. The default is true (ascending).
Returns: Collection
aside(func, var_args)
Calls a function passing this object as the first argument, and returning itself. Convenient e.g. when debugging:调用一个函数，将此对象作为第一个参数，并返回自身。例如，在调试时非常方便：
var c = ee.ImageCollection('foo').aside(print)
.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')
.filterBounds(geom).aside(print, 'In region')
.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')
.select('a', 'b');
Returns the same object, for chaining.
Arguments:
this:computedobject (ComputedObject):
The ComputedObject instance.
func (Function):
The function to call.
var_args (VarArgs<Object>):
Any extra arguments to pass to the function.
Returns: ComputedObject
这里重点说一下aside函数，这个功能就是在你执行程序每一步的时候都可以一步步的让其输出到控制台中，最后到底检查时哪一行代码出现了问题：
var c = ee.ImageCollection('foo').aside(print)
.filterDate('2001-01-01', '2002-01-01').aside(print, 'In 2001')
.filterBounds(table).aside(print, 'In region').aside(print, 'xxxx')
.aside(Map.addLayer, {min: 0, max: 142}, 'Filtered')
.select('a', 'b');
print(c)
我们看一下简单的错误：
Early Errors -Corrected
image.set(days,image.get('system:time_start')/(60*60*24*1000))
Result Capture
image =image.set(.)
Casting
ee.Number(image.get('system:time_start'))
or
image.getNumber('system:time_start')
Javascript Operators image.getNumber(.).divide(60*60*24**1000)
MAP function 错误
这里的map不能使用print或者getinfo或者export等函数的操作。
Return a Value
function(x){y=x.add(1);}
User-defined methods must return a value
Return an Element
function(x){return x.date()}
Collection.map:A mapped algorithm must return a Feature or Image.
Using getlnfo or print
function(x){return x.set('y',x.date().getInfo())}
Line 1:A mapped function's arguments cannot be used in client-side operation
Javascript branching
if(i==0){return 1 }else {return 2 }
Mapped Aggregations function(x){return x.reduceRegion({...maxPixels:1e9})}
Scaling Issues
Error:Image.reduceRegions:Computed value is too large.
Error:Image.classify:Feature null has a non-numeric value for property B1.Task timed out after 7200 seconds.
另外一些函数在使用过程中也指的注意：
How l Debug Your Code -my checklist
Low Hanging Fruit
getlnfo()
for loops
iterate()
toList()
Complex geometries
Don't clip
image.reduceToVectors()
image.reproject()
image.resample()
image.reduceResolution()
Joins
Collections
filterDate /filterBounds
calendarRange()without filterDate()
collection.geometry()
toBands()/toArray()
Aggregations
Tilescale in reduce*Combine reducers
image.reduceNeighborhood()
Neighborhood size使用较小的pixels作为参数
Use optimizations
How I Debug Your Code -my checklist
Distances
use fastDistanceTransform()
/ee.Image.pixelArea().sqrt()
Geometries
Specify an error marginSimplify if possible
bounds()vs.drawing a box
Discard them completely
Pre-caching before sampling
Classifier size(trees,training)
Never use Math.random()
错误代码示范：
https://code.earthengine.google.com/34bdb87a407011a6c9b821fad47d7987
var l8 = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2").limit(400);
function reduceBands(x, acc) {
return ee.Image(acc).addBands(x);
}
var iterateVersion = ee.Image(l8.iterate(reduceBands, ee.Image()));
print('Iterate: image has', iterateVersion.bandNames().length(), 'bands');
var toBandsVersion = l8.toBands();
print('toBands: image has', toBandsVersion.bandNames().length(), 'bands');