Remote Sensing

When Tree Rings Go Global: Challenges and Opportunities for Retro- and Prospective Insight
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to …
Cite DOI
Measuring B-diversity by Remote Sensing: A Challenge for Biodiversity Monitoring
Abstract Biodiversity includes multiscalar and multitemporal structures and processes, with different levels of functional …
Cite DOI
Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2
This study uses multiple satellite datasets to map paddy rice areas and yields for the Thai Binh Province, Viet Nam, over the summer …
Cite DOI
Predicting Landscapes as Seen from Space from Environmental Conditions
Satellite images are information rich snapshots of ecosystems and landscapes. In consequence, the features in the images strongly …
Cite DOI
A High-Performance and in-Season Classification System of Field-Level Crop Types Using Time-Series Landsat Data and a Machine Learning Approach
Accurate and timely spatial classification of crop types based on remote sensing data is important for both scientific and practical …
Cite DOI
LiDAR Derived Forest Structure Data Improves Predictions of Canopy N and P Concentrations from Imaging Spectroscopy
Imaging spectroscopy is a powerful tool for mapping chemical leaf traits at the canopy level. However, covariance with structural …
Cite DOI
Mapping Plant Functional Groups in Subalpine Grassland of the Greater Caucasus
Plant functional groupsin our case grass, herbs, and legumes-and their spatial distribution can provide information on key ecosystem …
Cite DOI
Remotely Sensed Spatial Heterogeneity as an Exploratory Tool for Taxonomic and Functional Diversity Study
Assessing biodiversity from field-based data is difficult for a number of practical reasons: (i) establishing the total number of …
Cite DOI
Reviews and Syntheses: An Empirical Spatiotemporal Description of the Global Surface--Atmosphere Carbon Fluxes: Opportunities and Data Limitations
Abstract. Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to …
Cite DOI
Linking Plant Strategies and Plant Traits Derived by Radiative Transfer Modelling
Abstract Question Do spatial gradients of plant strategies correspond to patterns of plant traits obtained from a physically based …
Cite DOI