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ml_spatial

Case studies for testing the risk of overfitting and the need for variable selection in spatial (-temporal) predictive modelling

mlprcp

Machine Learning for China Summer Precipitation

mlr3spatiotempcv

Spatio-temporal resampling methods for mlr3

models

Models and examples built with TensorFlow

modifiedmk

Non-parametric Mann-Kendall trend tests

modis

Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as file conversion, mosaicking, subsetting and time series.

modisr

modisr: R toolset for processing MODIS satelite images

modisreproj

batch process reprojection of modis files

modistools

Interface to the MODIS Land Products Subsets Web Services

modistsp

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

modler

An ecological niche model workflow based on dismo

modler_shiny_app

The shiny application for modleR, an ecological niche model workflow based on dismo()

monsoonminimalmodel

Minimal model for monsoon precipitation for manuscript "Position and orientation of the westerly jet determined Holocene rainfall patterns in China, Nature Communications, 2019"

mowgrz-detection

Automatic detection of mowing and grazing 🌾🐮 from Sentinel images 🛰 in the French Alps 🏔 through deep learning approaches 🧮

mraster

mmap raster: a solution to deal with big raster/image data

mrfcov

Markov random fields with covariates

ms-sustainability-2019

Materials for 2019 Tanintharyi land-cover regime shift paper (De Alban et al. 2019. Sustainability).

mscproject

The R code used in the data analysis for my MSc project, entitled "The Use of Remote Sensing Technology to Analyse Changes in Semi-Arid Grassland Habitats in Protected and Non-Protected Areas of Gujarat and Rajasthan, India".

mscthesisforestdeclineews

msslib

An Earth Engine JavaScript library for working with Landsat MSS image data.

mtreering

A tool for measuring tree-ring width

multi-layer-oselm

Multi-layer online sequential extreme learning machines for image classification

multi-scale-and-depth-cnn-for-pan-sharpening

Matlab implementation of IEEE JSTARS article "A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening", along with the IEEE GRSL article DRPNN. MatConvNet and Caffe are required for full implementation.

multi-scale-dense-networks-for-hyperspectral-remote-sensing-image-classification

paper：Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification

multi_scale_remote_sensing

Calculate landscape metrics in R based on a land-cover classification of Sentinel-2

multifunc

A package for the analysis of how drivers affect multiple functions in a system.

multifunc_lund

Repo for multifunctionality workshop hold in Lund 2019-09-04 - 2019-09-06

multiplelandscapes_jsmm

Multiple-landscapes Joint Species Movement Model (JSMM) by Danielle Leal Ramos, Marco Aurélio Pizo, Milton Cezar Ribeiro, Rafael Souza Cruz, Juan Manuel Morales, Otso Ovaskainen

multistressors-sibecol

Materiales del taller Introducción al análisis de estresores múltiples en ecosistemas, realizado en el congreso SIBECOL2019

museopheno

Phenology toolbox for Satellite Image Time Series, built upon MuseoToolBox