Pinned Repositories
11717701_KM030_26_Ashish-kumar-Satellite-farming-using-remote-sensing-images-drone-images-
Get Input Data The input data was encoded into CSV files. The X_test_sat4.csv flattened the images that were 28 x 28 x 4 that were taken from space. The first three channels are the standard red, green, and blue channels in normal images. The 4th is a near-infrared band. We are using the smaller test set because the training set is too big. After extracting the data from the csv files, we can reshape it into the original images. Then, we can see the images before we train on them. The second file we are loading are the labels for each image. They can be one of 4: barren land, trees, grassland and other. Each row in the file looks like this [1,0,0,0], where only one of the 4 value is 1. If it is one, then it is that class respective to the order I showed above. If it was the above values, the image is a picture of barren land. If it was [0,1,0,0], then it would be trees. If it was [0,0,1,0], then it would be grassland and so on.
aDGVM1_CCAM
aDGVM1 with with CCAM downscaled GCM daily input data
awesome-remote-sensing-papers
Selection of remote sensing papers
biodiversity_spatial_stability
Effects of biodiversity on spatial stability in heterogenous environments.
getSpatialData
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
QWaterModel
QWaterModel is a simple QGis plugin tool to calculate Evapotranspiration from thermal images.
RandomForest-Classification-1
Classifying remote sensing data with random forest
soiltau_ec
Spatial emergent constraint on the sensitivity of soil carbon turnover to global warming - Varney et al. 2020 Nature Communications
UNet-Satellite-Image-Segmentation
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
ws-hd_GRACE
R code repository for the manuscript: 'The social-ecological dimensions of changing global freshwater availability'.
yangxhcaf's Repositories
yangxhcaf/ca_causal_regions
Module for running and analysis of causality in cellular automata
yangxhcaf/climdex.pcic.ncdf
R package to compute Climdex indices on gridded NetCDF files
yangxhcaf/Community_Stability_TLA
yangxhcaf/Deep-Learning-to-Estimate-Forest-Tree-Density
I am personally developing a Deep Learning Classifier to estimate Tree Forest Density from Drone Analysis [Python, MATLAB]. Neural Net is based on Perspective Crowd Counting Deep Learning Architecture.
yangxhcaf/DeepDownscaling
Deep learning approaches for statistical downscaling in climate
yangxhcaf/eco-valuator
QGIS Plugin for calculating ecosystem service values for a given area
yangxhcaf/esd-1
An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.
yangxhcaf/eu-ida
Index decomposition analysis of carbon emissions from electricity generation in the European Union
yangxhcaf/h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
yangxhcaf/Heterogeneous_CD
This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.
yangxhcaf/IOFFsimwork
Code to run simulations in the paper titled 'Is more data always better? A simulation study of benefits and limitations of integrated distribution models'
yangxhcaf/Kelly_et_al_traits_to_demog_2020
Storage repo for code associated with the paper - Environmental and evolutionary context are required to infer plant life-history strategies from functional traits.
yangxhcaf/KrigR
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).
yangxhcaf/l-egume
L-egume is an individual-based model for the simulation of population dynamics in herbaceous legume species. It is part of the Virtual GrassLand model (VGL) developed on the OpenAlea platfom.
yangxhcaf/litsearchr
litsearchr is an R package to partially automate search term selection for systematic reviews using keyword co-occurrence networks. In addition to identifying search terms, it can write Boolean searches and translate them into over 50 languages.
yangxhcaf/litsearchr-tutorial
A tutorial for the R package 'litsearchr'
yangxhcaf/Mediterranean-Fishes-MRF
R code to reproduce analyses in "Rapid winter warming could disrupt coastal marine fish community structure" (Clark et al, Nature Climate Change, 2020)
yangxhcaf/MuseoToolBox
MuseoToolBox : a python library for remote sensing scripts
yangxhcaf/MVGC1
The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.
yangxhcaf/ncdfgeom
NetCDF-CF Geometry and Timeseries Tools for R
yangxhcaf/NDVI-time-series-analysis
Analysis of satellite images/NDVI images to obtain sowing and harvesting periods of crops in a region of interest.
yangxhcaf/Nishio_Nat.Plants_script
The R codes used in Nishio et al. 2020 Nature Plants.
yangxhcaf/pollen
Tools for working with aerobiological data
yangxhcaf/pyGeoPressure
Pore pressure prediction using seismic velocity and well log data
yangxhcaf/pytorch-Deep-Learning
Deep Learning (with PyTorch)
yangxhcaf/recluster
yangxhcaf/satellite_image_processing
This repository contains python scripts for pre-processing and machine learning classification of satellite imagery. All geared towards developing a robust methodology for monitoring grazing lawns in southern African savannas.
yangxhcaf/SoilHealthErosion
yangxhcaf/spatio_temporal_causality
Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia
yangxhcaf/traits-and-ecosystem-properties
R scripts associated to PLANT TRAITS ALONE ARE POOR PREDICTORS OF ECOSYSTEM PROPERTIES AND LONG-TERM ECOSYSTEM FUNCTIONING manuscript