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cnn-lstm_for_dsm

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

global_soil_carbon_turnover_time

This repository contains the code used for the analysis in the paper "Zhang et al. global patterns and controls of top- and subsoil organic carbon turnover times".

global_urbanization_impacts_on_vegetation

This repository contains the code used for the analysis in the paper "Zhang et al. Direct and indirect impacts of urbanization on vegetation growth across the world’s cities" publised in Science Advances

leizhang-geo.github.io

machine_learning_algorithms

A repository for recording the codes of machine learning algorithms

st-causalconvnet

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

uncertainty_guided_sampling

This repository contains the code of the sampling method proposed in the paper "Zhang et al. An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping" published in IJGIS.