administrative-divisions-of-china

中华人民共和国行政区划：省级（省份直辖市自治区）、 地级（城市）、 县级（区县）、 乡级（乡镇街道）、 村级（村委会居委会） ，**省市区镇村二级三级四级五级联动地址数据。

bibliometrics_research

以“工会维权”为主题的文献计量研究 | Bibliometrics Research on Trade Unions' Rights Protection

causal-ml

ccm

ccm-python

ccm-r

cuestarfm

cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

custarfm

cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

custnlffm

cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)

ditu

金庸武侠世界里的门派分布地图,金庸,武林,武侠,江湖,门派,武侠小说,门派地图

dxy-covid-19-data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

efsdaf

eupeg

An Extensible and Unified Platform for Evaluating Geoparsers

familia

A Toolkit for Industrial Topic Modeling

fire-detect-yolov4

fire-smoke-detection-dataset and fire-detection-yolov4-5 (with xml annotations)，火灾检测，烟雾检测

fire-detection-image-dataset

This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).

fire_prediction

Use MODIS data to predict the spread of forest fires

firecam

FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics

geoai2019geoparser

Evaluating State-of-the-Art Deep Learning Geoparsers

hms-smoke

HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product

howdopeopledescribelocations

How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey

is-osm-uptodate

Find outdated nodes in OpenStreetMap

mapmetadataenrichment

We propose a automatic workflow to train the CNN model in geospatial extent recognition

neurotpr

NeuroTPR: a Neuro-net ToPonym Recognition model for extracting locations from social media messages

osmnx

OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

pstcr

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

qgis-earthengine-examples

A collection of 220+ Python examples for using Google Earth Engine in QGIS

skccm

spatiotemporalimagefusion

spatio temporal image fusion with satellite data. FSDAF in matlab.

starfm4py

The STARFM fusion model for Python