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

Optical remote sensing has potential to overcome the limitations of point estimations of lake water quality by providing spatial and\udtemporal information. In open ocean waters the optical properties are dominated by phytoplankton density, while the relationship\udbetween color and the constituents is more complicated in inland waters varying regionally and seasonally. Concerning the difficulties\udrelating to comprehensive modeling of complex inland and coastal waters, the alternative approach is considered in this paper: the\udraw digital numbers (DN) recorded using aerial remote hyperspectral sensing are used without corrections and derived by means of\udregression modeling to predict Chlorophyll a (Chl-a) concentrations using in situ reference measurements. The target of this study\udis to estimate which number of local reference measurements is adequate for producing reliable statistical model to predict Chl-a\udconcentration in complex lake water ecosystem. Based on the data collected from boreal lake Lohjanjärvi, the effect of standard\uddeviation of Chl-a concentration of reference samples and their local clustering on predictability of model increases when number of\udreference samples or bands used as model variables decreases. However, the 2 or 3 band models are beneficial and more cost efficient\udwhen compared to 5 or 7 band models when the standard deviation of Chl-a concentration of reference samples is over certain level.\udThe simple empirical approach combining remote sensing and traditional sampling may be feasible for regional and seasonal retrieval\udof Chl-a concentration distributions in complex ecosystems, where the comprehensive models are difficult or even impossible to derive

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

CHOOSING OF OPTIMAL REFERENCE SAMPLES FOR BOREAL LAKE CHLOROPHYLL A CONCENTRATION MODELING USING AERIAL HYPERSPECTRAL DATA