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/awesome-earth-engine-apps
A collection of all public Google Earth Engine Apps.
yangxhcaf/Bayesian_Network_SDM
yangxhcaf/birdsearch.org
Browse worldwide birding locations and sightings, based on ebird.org data
yangxhcaf/causal_ccm
Package implementing Convergent Cross Mapping for causality inference in dynamical systems
yangxhcaf/eemont
A python package that extends Google Earth Engine.
yangxhcaf/esquisse
RStudio add-in to make plots interactively with ggplot2
yangxhcaf/fcntnw
Plant-herbivore networks along land-use intensity gradients in forests and grasslands -- FuncNet project
yangxhcaf/GCFRSpectralSurrogacy
Code for analyses related to GEB publication
yangxhcaf/GIS-MCDA-OWA
Comprehensive decision-strategy space exploration in GIS-MCDA with OWA
yangxhcaf/globePA
Representation of the world's biophysical conditions by the global protected area network
yangxhcaf/IUCNN
Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" or "Data Deficient" species, for any taxon or geographic region of interest.
yangxhcaf/LPDynR
An R-package to calculate Land Productivity Dynamics using variables derived from Earth Observation imagery.
yangxhcaf/mapsf
Thematic cartography with R
yangxhcaf/mipplot
Public repository for mipplot tool.
yangxhcaf/ml-hfi
A machine-learning based human footprint index, v1.0.
yangxhcaf/muxViz
Analysis and Visualization of Interconnected Multilayer Networks
yangxhcaf/MVNH
A simple R package for quantifying and comparing multivariate normal hypervolumes.
yangxhcaf/NINA
Analysis and implementation of biotic interactions into spatial ecology models
yangxhcaf/Phylo_trait_diversity
Scripts to calculate phylogenetic and trait diversity indices for vascular plant communities.
yangxhcaf/pynita_GUI
pynita_GUI is python GUI based implementation of Noise Insensitive Trajectory Algorithm (NITA)
yangxhcaf/pySDM-geemap
Species Distribution Modeling (SDM) utilizing Google Earth Engine (GEE) and geemap
yangxhcaf/r3PG
An R package for forest growth simulation using the 3-PG process-based model
yangxhcaf/soil_loss_assessment
Implementation of RUSLE method in GEE
yangxhcaf/sparta
Species Presence/Absence R Trends Analyses
yangxhcaf/timetk
A toolkit for working with time series in R
yangxhcaf/TMEN
Tripartite Microbial-Environment Network Analysis
yangxhcaf/Trait-diversity-stability
yangxhcaf/Vulnerability
📦 R code example to compute vulnerability metric used in Leclerc et al. (2020) [https://doi.org/10.1038/s41467-020-18740-x]
yangxhcaf/vulnerability_weighting_map
Code repo for mapping tool that allows users to play with components of composite indexed indicator, such as social vulnerability.
yangxhcaf/Wildebeest-UNet
A U-Net-based deep learning ensemble model for wildebeest-sized animal detection from satellite imagery. A version used for the paper accepted by Nature Communications: "Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape" (https://rdcu.be/dc8bU).