Google Earth Engine - Configurable, Probability-Based Workflow (with optional SLC coherence)
This Gist contains a Google Earth Engine (GEE) JavaScript script for rapid flood mapping using Sentinel-1 SAR (GRD), designed for research, simulation, and operational prototyping where you want many tunable parameters rather than a fixed “black box” result.
GEE link: https://code.earthengine.google.com/f4ebbc6907ca02f7ea5ecf0d88c2b5b7
This gist contains a purely conceptual map projection used for
#30DayMapChallenge 2025 — Day 19 (Projections).
The idea is to take standard geographic coordinates (longitude, latitude) and
Draft v20250616
BI, CI, CMH
Spatial open data is a powerful resource for understanding and improving the environments in which people live and work. It reveals patterns, disparities, and relationships across geographic space, enabling evidence-based decisions in areas such as public health, urban planning, environmental management, economic development, and social services. When made openly available, this data can support transparency and foster accountability by allowing stakeholders to monitor developments, assess needs, and inform more inclusive policies. The ability to extract and use this data empowers a wide range of users—from government agencies and researchers to civil society organizations and citizens—to analyze spatial dynamics, generating deeper insights into complex societal challenges and opportunities.
This repository provides two complementary workflows for deriving landcover area summaries and full transition matrices from MODIS IGBP or ESA CCI landcover datasets. Both workflows produce per‑year class area CSVs and comprehensive inter‑annual transition tables, then optionally split those tables by ISO3 code.
WARNING:
This code permanently deletes the specified asset folder and all its contents. Please double‑check the asset path before running.
Authentication and Initialization:
The script begins by calling ee.Authenticate() (only when needed) and ee.Initialize().
delete_folder_contents Function:
ee.data.listAssets({'parent': folder}) to list all children assets.
This script processes CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) version 3.0 dekadal (10-day) rainfall data to create rolling accumulations over various time periods. It's particularly useful for climate monitoring and drought analysis.