added ws202425 courses

2024_Remote_Sensing/lab1/Lab1.md

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+# Lab Assignment 1 - Cartopgraphy, Colors, and Displaying Remotely-Sensed Data
+
+Name: Joaquin Gottlebe
+Matrikelnummer: 829101
+
+## Map 1
+
+![](map1.png)
+
+## Question 1
+
+#### Data
+Data: The Land Surface Temperature (LST) and Emissivity daily data are retrieved at 1km pixels by the generalized split-window algorithm and at 6km grids by the day/night algorithm. In the split-window algorithm, emissivities in bands 31 and 32 are estimated from land cover types, atmospheric column water vapor and lower boundary air surface temperature are separated into tractable sub-ranges for optimal retrieval. In the day/night algorithm, daytime and nighttime LSTs and surface emissivities are retrieved from pairs of day and night MODIS observations in seven TIR bands. The product is comprised of LSTs, quality assessment, observation time, view angles, and emissivities.
+
+Satelite: eMODIS Global LST V6
+
+Entity ID: EMGLSTA20220911202209206
+
+Begin Date: 2022-09-11 00:00:00-05
+
+End Date: 2022-09-20 00:00:00-05
+
+Source: https://earthexplorer.usgs.gov/
+
+#### Map
+
+![](map2.png)
+
+## Question 2
+
+![](plot1.png)