"Phenology"

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 purposes. Spatially explicit crop-type information can be used to estimate crop areas for a variety of monitoring and …

Semiempirical Modeling of Abiotic and Biotic Factors Controlling Ecosystem Respiration across Eddy Covariance Sites

In this study we examined ecosystem respiration (RECO) data from 104 sites belonging to FLUXNET, the global network of eddy covariance flux measurements. The goal was to identify the main factors involved in the variability of RECO: temporally and …

Comparing Observations and Process-Based Simulations of Biosphere-Atmosphere Exchanges on Multiple Timescales

Terrestrial biosphere models are indispensable tools for analyzing the biosphere-atmosphere exchange of carbon and water. Evaluation of these models using site level observations scrutinizes our current understanding of biospheric responses to …

Deciphering the Components of Regional Net Ecosystem Fluxes Following a Bottom-up Approach for the Iberian Peninsula

Quantification of ecosystem carbon pools is a fundamental requirement for estimating carbon fluxes and for addressing the dynamics and responses of the terrestrial carbon cycle to environmental drivers. The initial estimates of carbon pools in …

Influence of Heterogeneous Landscapes on Computed Green-up Dates Based on Daily AVHRR NDVI Observations

The main objective of the current paper is to evaluate and explain differences between computed green-up dates of vegetated land surface derived from satellite observations and budburst dates from ground observational networks. Landscapes dominated …