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excel_analysis

Excel虽然可以非常方便地处理数据，但数据量大时速度就变慢了，本项目把Excel数据分析的常用功能：筛选、多表合并、多表汇总、多表分组，通过Python+Pandas重新实现，因为Pandas处理数据更快且能处理大的数据，此工具还可根据业务需求灵活修改少量代码实现通用。

extract_landsat_data

Script to extract *.tar.gz Data (downloaded from USGS, EarthExplorer

extract_values_to_points

Extraction of values in raster(s) to points from a point shapefile using python (GDAL)

face-recognition

1、基于CNN模型来实现人脸识别 2、基于Flask将人脸识别模型暴露为web服务形式进行调用 3、基于OpenCV调用摄像头对实时视频流数据进行检测

faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

fastgwr

Fast Geographically Weighted Regression (FastGWR)

fcns-for-road-extraction-keras

Road extraction of high-resolution remote sensing images based on various semantic segmentation networks

fcn_road

use fcn to extract road

feature-engineering

🧐数据预处理🧐：缺失值处理、数据补全、数据类型转换、数据编码、数据正则化、对数变换...实战案例：Zillow房价数据清洗、Airbnb数据清洗

feature_extraction-svm-classification-remote-sensing

Code for using ConvNet to extract feature based on Caffe pretrained model and train a SVM classifier to do Remote sensing scene classififcation

fields-roads-classification

Using deep learning to classify road and field images

file-statistics-2

filelist

Cmpe 230 Python

filterpy

Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

flowmap

a WebGIS created to visualise the syrian migrationflow usind django

frcnn-for-aircraft-detection

FRCNN for remote sensing image aircraft detection

gdal-hdf_to_tiff

HDF to GeoTIFF converter based on GDAL

gdal-point-extraction-for-raster-data

Python code for extracting the pixel value of raster data in .tif files based on lat/long coordinates. Pulling data from the following .tif maps: 1 km MODIS-based Maximum Green Vegetation Fraction and 0.5 km MODIS-based Global Land Cover Climatology.

gdal-python3

learn GDAL with python

gdal100

GDAL Lecture 100

gdalplot

a simple widget to display raster surface with matplotlib

gdal_demo

gdal_remote-sensing

gdal_scripts

GDAL scripts generally written in Python

gdi-

gears

Geospatial Engineering and Remote Sensing Lab

geebook

Geospatial Data Science with Earth Engine and Geemap

geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

geemap_2022

geerandomforest

Here is code relating to using Google Earth Engine to create cropland extent maps of SE Asia using a RandomForest classifier.