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

In this study, images from the satellite system WorldView-2 in combination with terrestrial laser scanning (TLS) over a maize fieldin Germany are investigated. Simultaneously to the measurements a biomass field campaigns was carried out. From the point cloudsof the terrestrial laser scanning campaigns crop surface models (CSM) from each scanning date were calculate to model plant growthover time. These results were resampled to match the spatial resolution of the WorldView-2 images, which had to orthorectifiedusing a high resolution digital elevation model and atmosphere corrected using the ATCOR Software package. A high directcorrelation of the NDVI calculated from the WorldView-2 sensor and the dry biomass was found in the beginning of June. At thesame date, the heights from laser scanning can also explain a certain amount of the biomass variation (r2 = 0.6). By combining theNDVI from WorldView-2 and the height from the laser scanner with a linear model, the R2 reaches higher values of 0.86. To furtherunderstand the relationship between CSM derived crop heights and reflection indices, a comparison on a pixel basis was performed.Interestingly, the correlation of the NDVI and the crop height is rather low at the beginning of June (r2 = 0,4, n = 1857) and increasessignificantly (R2 = 0,79, N = 1857) at a later stage

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

Fusion of high resolution remote sensing images and terrestrial laser scanning for improved biomass estimation of maize