Tim Appelhans

The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019

China and India lead in greening of the world through land-use management

Deep learning and process understanding for data-driven Earth system science

Mapping gains and losses in woody vegetation across global tropical drylands

Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?

Hyperspectral Remote Sensing Classifications: A Perspective Survey

Climate Change 2022 – Impacts, Adaptation and Vulnerability

Interpolation of greenhouse environment data using multilayer perceptron

An intelligent healthcare monitoring framework using wearable sensors and social networking data

Increased vegetation growth and carbon stock in China karst via ecological engineering

A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Physics-informed machine learning

Random forest in remote sensing: A review of applications and future directions

Evidence of climate change impacts on water, food and energy resources around Kilimanjaro, Tanzania

Seasonal and long-term vegetation dynamics from 1-km GIMMS-based NDVI time series at Mt. Kilimanjaro, Tanzania

Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro, Tanzania

Eco‐meteorological characteristics of the southern slopes of Kilimanjaro, Tanzania

A Comparative Study of Cross-Product NDVI Dynamics in the Kilimanjaro Region—A Matter of Sensor, Degradation Calibration, and Significance

Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI

Multidecadal Trends and Interannual Variability of Rainfall as Observed from Five Lowland Stations at Mt. Kilimanjaro, Tanzania