Geoskill: MODIS Product Search

MODIS Product Data Query Skill | MODIS产品数据查询工具

Comprehensive local query tool for NASA MODIS satellite products. Covers 46 products across 13 categories with bilingual (Chinese/English) descriptions, algorithm principles, band information, Google Earth Engine integration, and download information.

全面的NASA MODIS卫星产品本地查询工具。涵盖46个产品、13个类别，提供双语（中英文）介绍、算法原理、波段信息、Google Earth Engine集成和下载信息。

Features | 特性

• 🔍 Smart Search - Search by product ID, name, category, or keyword (bilingual)
• 📊 Detailed Info - Complete product details with algorithms, formulas, bands
• 🌐 Bilingual - All descriptions in Chinese and English
• 🛰️ GEE Integration - Ready-to-use Google Earth Engine code examples
• 📥 Download Info - Multiple download methods and citations
• 🔄 Product Comparison - Compare two products side-by-side
• 📈 Statistics - Database statistics and category breakdowns

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Data Source | 数据来源

Data collected from official NASA MODIS product pages:

• NASA MODIS Web: https://modis.gsfc.nasa.gov/data/dataprod/
• LP DAAC: https://lpdaac.usgs.gov/
• GEE Data Catalog: https://developers.google.com/earth-engine/datasets/catalog/modis

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Credentials

This skill does not download MODIS data itself — it generates wget / curl commands. Those commands need a NASA Earthdata account.

Resolution order (when generating download commands):

1. EARTHDATA_USERNAME env var (auto-fills --user in the generated wget)
2. ~/.netrc entry for machine urs.earthdata.nasa.gov (skill outputs cookie-jar form)
3. Default uiduobao (geoskill-core credentials.py) — auto-fills --user placeholder

Password is never auto-filled; use EARTHDATA_PASSWORD env var, .netrc, or type it interactively. Register your own free account at https://urs.earthdata.nasa.gov/users/new/ for heavy use.

Usage | 用法

Search products | 搜索产品

python scripts\modis_products.py search NDVI
python scripts\modis_products.py search 植被指数
python scripts\modis_products.py search LST --limit 5
python scripts\modis_products.py search fire

Show product details | 查看产品详情

python scripts\modis_products.py show MOD13Q1
python scripts\modis_products.py show MOD11A1
python scripts\modis_products.py show MCD12Q1

GEE code example | GEE代码示例

python scripts\modis_products.py gee MOD13Q1
python scripts\modis_products.py gee MOD11A1
python scripts\modis_products.py gee MCD12Q1

Download information | 下载信息

python scripts\modis_products.py download MOD13Q1
python scripts\modis_products.py download MOD09GA

List by category | 按类别列出

python scripts\modis_products.py category vegetation_indices
python scripts\modis_products.py category land_surface_temperature
python scripts\modis_products.py categories

Filter by platform | 按平台筛选

python scripts\modis_products.py platform Terra
python scripts\modis_products.py platform Aqua
python scripts\modis_products.py platform Combined

Filter by resolution | 按分辨率筛选

python scripts\modis_products.py resolution 250m
python scripts\modis_products.py resolution 500m
python scripts\modis_products.py resolution 1km

Compare products | 对比产品

python scripts\modis_products.py compare MOD13Q1 MYD13Q1
python scripts\modis_products.py compare MOD13A1 MOD13A2

Database statistics | 数据库统计

python scripts\modis_products.py stats

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Parameters | 参数

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Product Categories | 产品类别

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Key Products | 核心产品

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GEE Quick Start | GEE快速开始

// Load MODIS NDVI data
var modisNDVI = ee.ImageCollection('MODIS/061/MOD13Q1');

// Filter by date and region
var roi = ee.Geometry.Rectangle([100, 30, 110, 40]);
var filtered = modisNDVI
  .filterDate('2020-01-01', '2020-12-31')
  .filterBounds(roi)
  .select('NDVI');

// Apply scale factor
var ndvi = filtered.map(function(img) {
  return img.multiply(0.0001);
});

// Visualize
Map.addLayer(ndvi.mean(), {min: 0, max: 1, palette: ['red', 'yellow', 'green']}, 'NDVI');

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Download Methods | 下载方式

1. NASA Earthdata Search: https://search.earthdata.nasa.gov/
2. LP DAAC Data Pool: https://e4ftl01.cr.usgs.gov/
3. LAADS DAAC: https://ladsweb.modaps.eosdis.nasa.gov/
4. AppEEARS: https://appeears.earthdatacloud.nasa.gov/
5. Google Earth Engine: Use GEE collection IDs directly
6. NSIDC (Snow products): https://nsidc.org/data/

Note: NASA Earthdata account required for download. 注意：下载需要NASA Earthdata账号。Register at: https://urs.earthdata.nasa.gov/

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Notes | 注意事项

1. Data source: NASA MODIS Web, copyright belongs to NASA
2. All MODIS products are freely available for research and commercial use
3. GEE Collection IDs use version 061 (Collection 6.1) where available
4. Snow products (MOD10/MYD10) use Collection 006 and are hosted at NSIDC
5. Scale factors must be applied to get physical values
6. Quality bands should be used to filter unreliable pixels

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Execution | Execution

type: script script_path: scripts/modis_products.py entry_point: main dependencies: None (Python stdlib only / 仅使用Python标准库)