19: Supervised Classification: CAST and Random Forest

Geospatial Data Analytics with Google Earth Engine II

Module 1: Introduction to Earth Engine Recap...ความเดิมตอนที่แล้ว

1: Introduction to Google Earth Engine (12:43)
2: New Earth Engine Sign Up (2:24)
3: Earth Engine Interface (3:34)
4: Basic Java Script (6:39)
5: Earth Engine Data Catalog (3:39)
6: Image Information and Metadata (6:09)

Module 2: GEE in Real World Applications.. ตัวอย่างการใช้งานจริง

7: Sentinel-5P on GEE for Air Quality Application (6:02)
8: Nox CO CH4 Sentinel-5P (10:46)
9: Global Forest Cover Hansen 2021 (6:17)
10: FIRMS Hot Spot for Forest Fire (4:30)
11: ESRI Sentinel-2 10m Land Use/Land Cover Timeseries (2:59)
12: ESA WorldCover land cover products at 10 m resolution (2:24)

Module 3: Machine Learning in Earth Engine..แมชชีนเลิร์นนิ่ง เอาเข้าจริงก็ไม่ได้ยากแฮ่ะ

13: Introduction to Machine Learning (4:37)
14: Unsupervised Classification Cluster Analysis (3:26)
15: Linear Regression Analysis of Night Light (4:27)
16: Training Dataset with Sentinel-2 using Earth Engine (6:50)
17: Machine Learning: A Case Study of Burned Area (3:59)
18: Stratified Random Sampling for Machine Learning Training Dataset (4:58)
19: Supervised Classification: CAST and Random Forest (4:16)
20: Machine Learning with "YOUR" UAV images (1:41)

Module 4: Water Resources Application ตัวอย่างการประยุกต์ ด้าน อุตุ-อุทกวิทยาและคุณภาพน้ำ

21: Create Daily Precipitation Chart (6:51)
22: Analysis of the Dry Spells (5:13)
23: Water Quality Monitoring using Sentinel-2 (9:25)
24: Monitoring Chlorophyll-a: Normalized Difference Chlorophyll Index (NDCI) (3:35)
25: Time Series Analysis of Water Quality Parameters (4:26)
26: Bathymetry Mapping using Sentinel-2 data (3:12)

Module 5: Agriculture and Forestry Applications ไอเดีย การประยุกต์ทางการเกษตร กับ ป่าไม้

27: Agriculture Spectral Indies: A Case Study of Normalized Difference Tillage Index (NDTI) (5:33)
28: OpenLandMap: Soil Group, Soil Bulk Density and Soil Texture (3:06)
29: Global Ecosystem Dynamics Investigation (GEDI): Monthly Mean Biomass (8:58)
30: Global Ecosystem Dynamics Investigation (GEDI): Forest Canopy Height (4:16)

Module 6: Synthetic Aperture Radar (SAR) Applications ไม่ต้องกัวลงเรื่องเมฆ เมื่อมี SAR

31: Synthetic Aperture Radar (SAR): Multi-Temporal Coherence (4:13)
32: SAR-Based Flood Mapping: An Application from UN-Spider (3:57)
33: SAR Inundated Pixel: Flood Extent Application (2:33)
34: Combining Sentinel-1 and Sentinel-2 Data to Enhance Land Use and Land Cover Mapping (2:42)

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