如何用不同程度的光栅创建光栅砖？

Question

我是新的R所以这个问题是非常基本的，但我一直在努力，并找不到解决方案。我想从同一区域的一些landsat图像创建一个光栅砖。 他们下载的格式为HDF-EOS，我使用Modis Reprojection Tool将它们转换为.tif。

生成的栅格具有相同的投影，但其范围，分辨率和来源不同。

我试了几种方法，这里总结如下：

1. 手动定义的一个子集范围和子集所有的栅格。然后尝试使用子集栅格制作砖块

2. 重新采样栅格，使其具有相同数量的列和行。理想情况下，这将确保栅格单元对齐，并且可以放入栅格砖中。这个选项创建了一个砖块，其中栅格没有值，它们是空的。

我想知道什么是我应该遵循的概念来纠正程度。创建一个空的光栅是否正确（和高效），我将在稍后使用导入的landsat图像的值填充它？你能看到我犯了什么错误吗？ 如果它是相关的，我工作的一个的Mac OSX 10.9.1版本，并使用rgdal版本0.8-14

任何帮助将非常感激！

三江源

我这里补充我一直在使用的代码：

# .tif files have been creating using the Modis Reprojection Tool. Input 
# files used for this Tool was LANDSAT HDF-EOS imagery. 

library(raster) 
library(rgdal) 

setwd()=getwd() 

# Download the files from dropbox: 
dl_from_dropbox <- function(x, key) { 
    require(RCurl) 
    bin <- getBinaryURL(paste0("https://dl.dropboxusercontent.com/s/", key, "/", x), 
         ssl.verifypeer = FALSE) 
    con <- file(x, open = "wb") 
    writeBin(bin, con) 
    close(con) 
    message(noquote(paste(x, "read into", getwd()))) 
} 
dl_from_dropbox("lndsr.LT52210611985245CUB00-vi.NDVI.tif", "qb1bap9rghwivwy") 
dl_from_dropbox("lndsr.LT52210611985309CUB00-vi.NDVI.tif", "sbhcffotirwnnc6") 
dl_from_dropbox("lndsr.LT52210611987283CUB00-vi.NDVI.tif", "2zrkoo00ngigfzm") 



# Create three rasters 
tif1 <- "lndsr.LT52210611985245CUB00-vi.NDVI.tif" 
tif2 <- "lndsr.LT52210611985309CUB00-vi.NDVI.tif" 
tif3 <- "lndsr.LT52210611987283CUB00-vi.NDVI.tif" 

r1 <- raster(tif1, values=TRUE) 
r2 <- raster(tif2, band=1, values=TRUE) 
r3 <- raster(tif3, band=1, values=TRUE) 

### Display their properties 
# projection is identical for the three rasters 
projection(r1) 
# "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0" 
projection(r2) 
projection(r3) 

# Extents are different 
extent(r1) 
# class  : Extent 
# xmin  : -45.85728 
# xmax  : -43.76855 
# ymin  : -2.388705 
# ymax  : -0.5181549 
extent(r2) 
# class  : Extent 
# xmin  : -45.87077 
# xmax  : -43.78204 
# ymin  : -2.388727 
# ymax  : -0.5208711 
extent(r3) 
# class  : Extent 
# xmin  : -45.81952 
# xmax  : -43.7173 
# ymin  : -2.405129 
# ymax  : -0.5154312 

# origin differs for all 
origin(r1) 
# 5.644590e-05 -8.588605e-05 
origin(r2) 
# 0.0001122091 -0.0001045107 
origin(r3) 
# 6.949976e-05 -5.895945e-05 

# resolution differs for r2 
res(r1) 
# 0.0002696872 0.0002696872 
res(r2) 
# 0.0002696875 0.0002696875 
res(r3) 
# 0.0002696872 0.0002696872 


## Try different approaches to create a raster brick 

# a- define a subset extent, and subset all the rasters 
plot(r1, main="layer1 NDVI") 
de <- drawExtent(show=TRUE, col="red") 
de 
# class  : Extent 
# xmin  : -45.36159 
# xmax  : -45.30108 
# ymin  : -2.002435 
# ymax  : -1.949501 
e <- extent(-45.36159,-45.30108,-2.002435,-1.949501) 
# Crop each raster with this extent 
r1c <- crop(r1,e) 
r2c <- crop(r2,e) 
r3c <- crop(r3,e) 
# Make raster brick 
rb_a <- brick(r1c,r2c,r3c) 
# Error in compareRaster(x) : different extent 

# b- Resample each raster 
s <- raster(nrow=6926, ncol=7735) # smallest nrow and ncol among r1,r2 and r3 
r1_res <- resample(r1,s, method="ngb") 
r2_res <- resample(r2,s, method="ngb") 
r3_res <- resample(r3,s, method="ngb") 
# Resampling gives for the three rasters the following message: 
# Warning message: 
# In .local(x, y, ...) : 
# you are resampling y a raster with a much larger cell size, 
# perhaps you should use "aggregate" first 

# Make raster brick 
rb_c <- brick(r1, r2, r3) 
# Error in compareRaster(x) : different extent 

Answer 1

这里有一些事情来帮助你。由于我没有.tif文件只是一些提示。你有没有检查你的光栅s的程度？这是世界的大小，只有那些列的单元格非常大。因此，在重新采样之前，必须在栅格中添加一个范围。从你的信息，我做了这样的事情：

# create an extent that includes all your data 
e<-extent(-46, -43, -2, -0.6) 

# create a raster with that extent, and the number of rows and colums to achive a 
# similar resolution as you had before, you might have to do some math here.... 
# as crs, use the same crs as in your rasters before, from the crs slot 
s<-raster(e, nrows=7000, ncols=7800, crs=r1@crs) 

# use this raster to reproject your original raster (since your using the same crs, 
# resample should work fine 
r1<-resample(r1, s, method="ngb") 

节日快乐， 本

PS更好的方法来找到你所需要的程度&分辨率：

# dummy extent from your rasters, instead use lapply(raster list, extent) 
a<-extent(-45.85728, -43.76855, -2.388705, -0.5181549) 
b<-extent(-45.87077, -43.78204, -2.388727, -0.5208711) 
c<-extent(-45.81952 ,-43.7173 , -2.405129 ,-0.5154312) 
extent_list<-list(a, b, c) 

# make a matrix out of it, each column represents a raster, rows the values 
extent_list<-lapply(extent_list, as.matrix) 
matrix_extent<-matrix(unlist(extent_list), ncol=length(extent_list) 
rownames(matrix_extent)<-c("xmin", "ymin", "xmax", "ymax") 

# create an extent with the extrem values of your extent 
best_extent<-extent(min(matrix_extent[1,]), max(matrix_extent[3,]), 
min(matrix_extent[2,]), max(matrix_extent[4,])) 

# the range of your extent in degrees 
ranges<-apply(as.matrix(best_extent), 1, diff) 
# the resolution of your raster (pick one) or add a desired resolution 
reso<-res(r1) 
# deviding the range by your desired resolution gives you the number of rows and columns 
nrow_ncol<-ranges/reso 

# create your raster with the following 
s<-raster(best_extent, nrows=nrow_ncol[2], ncols=nrow_ncol[1], crs=r1@crs)