Latest Contributions by JeonghoHan

‎10-29-2021

Hi, I want to find a multiple linear regression to predict and produce a time series of actual evapotranspiration, ET (response variable) using remotely sensed time series of land surface temperature and ground-observed air temperature (explanatory variable) data. All data are raster (.tif) format. They are 5-year dataset with the same extent and temporal (16days) and spatial (500m by 500m) resolution. I was trying to some ways after looking into the community posts relative to spatial regression, raster regression, spatial statistics, etc. but I fail to get the result that I one. Most of them I found didn't address the time series of two different explanatory variable at the same time. Can anyone help me out to get an idea?

‎06-21-2020

Thank you for the comment. To be honest, while I couldn't understand the theoretical concept of your comment, I tried to apply for a convolution filter and there are the results (left is the one with 40 Cols, right is 20 Cols). While doing this process, I was thinking that although these filters can remove the strips lines, the value of each cell would be changed due to the filtering. What I want to see through this is the soil erosion based on the difference in each cell. Thus, is there any way to remove or correct the strips (as know as inaccuracy following your comment)?

‎06-18-2020

I'm analyzing the change in elevation in terms of soil erosion using LiDAR in different years. To see the difference between two different year's LiDAR, I used the raster calculator tool in ArcGIS and subtracted them. However, in a result map, strip lines (or bands? I don't know how to call them) appeared while they are not seen in the original DEM data. I guessed that these are not the erosion effect in reality, but the things caused by processes I had done to make it. To remove these bands, I tried to somethings I found through googling such as filtering and 'fix Landsat data tool'. Regardless, these lines were not removed. I hope someone knows about a solution or a reason of this problem. For your information, I used ArcGIS 10.7, and DEM data that were the derivative product based on LiDAR from Illinois Geospatial Data Clearinghouse web site. The target county is Jefferson county in Illinois state. In the figures below, the left one is the 2012 year DEM and the right one is the 2015 DEM. The third one is the result when I subtracted these two DEM.

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Date Last Visited	‎10-31-2021 03:18 PM

My Ideas

Latest Contributions by JeonghoHan

Spatial regression using time series of two raster dataset as a explanatory variable

Re: Comparison of LiDAR data in different years

Comparison of LiDAR data in different years