phanvantrong Goto Github PK

crop-type-mapping

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

crop-type-mapping-1

Crop type mapping of small holder farms in Ghana, and South Sudan

crop-type-mapping-2

Machine Learning Algorithms based Crop Type Mapping in North-Western part of Bangladesh using Google Earth Engine (GEE) and Python

crop-yield-prediction-using-cnn-lstm-

Crop yield prediction on remote sensing data using CNN

crop_yield_prediction

Crop Yield Prediction with Deep Learning

cropconvlstm_fcn

cropland-ds-2020

A small data science demo project that shows supervised and unsupervised classification on a small dataset using publicly available data.

croplandmappingcdl

cropmappinginterpretation

Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".

croptype-mapping-gsn

[Coming soon] Code for crop type classification with growth stage normalization method proposed in:

croptypemapping_s1s2

cv

PyTorch based Computer Vision work

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.

dapat-uang-online-webgis

Automatically exported from code.google.com/p/dapat-uang-online-webgis

data-collection-ios

Mobile data collection app using the iOS Runtime SDK.

data-science-cropland-mapping

Machine learning - Deep learning - Random forest - Neural network - Cropland mapping

data_visualization

A collection of my data visualizations, mostly in Python.

datalab-tf-ee

Predict model for climate and weather data from Google's Earth Engine using Tensorflow

deep-gapfill

Mirror of https://gitlab.irstea.fr/remi.cresson/deep-gapfill

deep-learning-based-feature-extraction-from-dataset

deep-learning-books

Some books machine learning, deep learning, and related topics. 一些机器学习、深度学习和相关话题的书籍。

deep-learning-for-satellite-imagery

Deep learning courses and projects

deep-transfer-learning-crop-prediction

Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

deepcropmapping

Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping".

deepforest

Python Package for Tree Crown Detection in Airborne RGB imagery

deeplearningforlandcover

Using CNN for LandCoverClassification of multisource imagery (Sentinel-2 + Alos_2 data)

deepsentinel

Deep learning pretrained model on satellite imagery (Sentinel-2)

deforestation-timeseries-dl

dl-agriculture

Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures