urmilkadakia / Rainfall-prediction-for-the-state-of-Gujarat-using-deep-learning-technique
Prediction of rainfall which varies both spatially and temporally is extremely challenging. Infrared and visible spectral data from satellites have been extensively used for rainfall prediction. In this study, two deep learning methods MLP and LSTM are discussed at length for predicting precipitation at a fin…
☆22Updated 6 years ago
Alternatives and similar repositories for Rainfall-prediction-for-the-state-of-Gujarat-using-deep-learning-technique:
Users that are interested in Rainfall-prediction-for-the-state-of-Gujarat-using-deep-learning-technique are comparing it to the libraries listed below
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆20Updated 4 years ago
- Deep Convolutional SpatioTemporal Fusion Network (DCSTFN)☆43Updated 5 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆60Updated 2 years ago
- Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spect…☆59Updated 5 years ago
- 佳格天地比赛，时空序列预测，决赛top6方案☆16Updated 5 years ago
- This repository contains the project "Change Detection in Land Usage using Remote Sensing Imangery" completed at Bhaskaracharya Insitutut…☆15Updated 5 years ago
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆33Updated 5 years ago
- Tensorfolw code for" Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on Multiscale Feature Connected Convol…☆14Updated 4 years ago
- Crop yield prediction on remote sensing data using CNN☆26Updated 5 years ago
- Typhoon Prediction☆12Updated 5 years ago
- ☆17Updated 6 years ago
- Crop-Health-Monitoring is an app that allows the users, to download Sentinel-2 images, clip them to a specific study area, and calculate …☆9Updated last year
- 1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data☆58Updated 2 years ago
- ConvLSTM for short-term precipitation forecasting.☆21Updated 5 years ago
- Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite image…☆26Updated 6 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆64Updated 5 years ago
- ☆56Updated 5 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆49Updated last month
- Hyperspectral Processing Scripts for the HydReSGeo Dataset☆15Updated 3 years ago
- Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning☆16Updated 3 years ago
- Achieved a jaccard index of 0.75 with 100 images.LandCoverNet is a global annual land cover classification training dataset with labels f…☆11Updated 4 years ago
- Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery☆30Updated 3 years ago
- Precipitation Nowcasting using DL - CS230 Deep Learning course group project☆21Updated 4 years ago
- Analysis satellite images of typhoons in deep-learning (CNN).☆29Updated 6 years ago
- ☆17Updated 7 years ago
- The GAN-based method is used to generate high-resolution remote sensing for data augmentation and image classification.☆28Updated 6 years ago
- ☆22Updated 7 years ago
- Semantic segmentation of remote sensing images.☆11Updated 5 years ago
- classification of remote sensing images using Convolutional Neural Networks (CNN)☆17Updated 4 years ago
- We propose Compressive Sensing and Deep Learning framework (CS-DL) for multiple satellite sensor based data fusion. It’s aims to improve …☆22Updated 3 years ago