remote sensing

Spectral: Awesome Spectral Indices Deployed via the Google Earth Engine JavaScript API

Spectral Indices derived from Remote Sensing (RS) data are widely used for characterizing Earth System dynamics. The increasing amount of spectral indices led to the creation of spectral indices catalogues, such as the Awesome Spectral Indices (ASI) …

Remote Sensing of Soil Moisture

Soil moisture is an essential climate variable and knowledge about its state and dynamics is vital for numerous applications, from agricultural drought monitoring to studying land– atmosphere interactions. Remote sensing instruments mounted on …

The Leaf Is Always Greener on the Other Side of the Lab: Optical in-Situ Indicators for Leaf Chlorophyll Content Need Improvement for Semi-Natural Grassland Areas

Leaf chlorophyll content (LCC) is an important indicator of plant health. Earth observation facilitates LCC monitoring on large spatial scales and within short time intervals by retrieving canopy LCC from spectral signals. However, in-situ …

Transfer Learning from Citizen Science Photographs Enables Plant Species Identification in UAV Imagery

Accurate information on the spatial distribution of plant species and communities is in high demand for various fields of application, such as nature conservation, forestry, and agriculture. A series of studies has shown that Convolutional Neural …

A Roadmap for High-Resolution Satellite Soil Moisture Applications – Confronting Product Characteristics with User Requirements

Soil moisture observations are of broad scientific interest and practical value for a wide range of applications. The scientific community has made significant progress in estimating soil moisture from satellite-based Earth observation data, …

Convolutional Neural Networks Accurately Predict Cover Fractions of Plant Species and Communities in Unmanned Aerial Vehicle Imagery

Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high resolution remote sensing data for assessing the spatial distribution of species composition and vegetation characteristics. Yet, current pixel- or texture-based …

Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space

Plant functional diversity (FD) is an important component of biodiversity. Evidence shows that FD strongly determines ecosystem functioning and stability and also regulates various ecosystem services that underpin human well-being. Given the …

Validation Practices for Satellite Soil Moisture Retrievals: What Are (the) Errors?

This paper presents a community effort to develop good practice guidelines for the validation of global coarse-scale satellite soil moisture products. We provide theoretical background, a review of state-of-the-art methodologies for estimating errors …

Inferring Plant Functional Diversity from Space: The Potential of Sentinel-2

Plant functional diversity (FD) is an important component of biodiversity that characterizes the variability of functional traits within a community, landscape, or even large spatial scales. It can influence ecosystem processes and stability. Hence, …

Advantages of Retrieving Pigment Content [$μ$g/Cm2] versus Concentration [%] from Canopy Reflectance

Photosynthesis is essential for life on earth as it, inter alia, influences the composition of the atmosphere and is the driving mechanism of primary production. Photosynthesis is particularly controlled by leaf pigments such as chlorophyll, …