English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Active microwave sensors operating at lower microwave frequencies in the range from 1 to 10 GHz provide backscattermeasurements that are sensitive to the moisture content of the soil. Thanks to a series of European C-band (5.3 GHz) scatterometers,which were first flown on board of the European Remote Sensing satellites ERS-1 and ERS-2, and later on board of MetOp-A andMetOp -B, we are now in the possession of a long-term soil moisture time series starting in 1991. The creation of globally consistentlong-term soil moisture time series is a challenging task. The TU-Wien soil moisture algorithm is adopted to tackle these challenges.In this paper we present two methodologies that were developed to ensure radiometric stability of the European C-bandscatterometers. The objective of sensor intra-calibration is to monitor and correct for radiometric instabilities within onescatterometer mission, while sensor inter-calibration aims to remove radiometric differences across several missions. In addition, anovel vegetation modelling approach is presented that enables the estimation of vegetation parameters for each day across severalyears to account for yearly to longer-term changes in vegetation phenology and land cover

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements