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

There exists a phenomenon of different objects with a similar spectrum in the multispectral satellite images in Taihu Lake, which is caused by an influence of suspended matter and algae.So,it is easy to classify the water into submerged vegetations area by mistake.In this report,we firstly retrieved water transparency from Landsat TM image acquired on 15 July 2002.And then,the following two types of decision trees were developed on the basis of the two vegetation index of RVI and NDVI:(a)a transparency-assisted decision tree,(b)a non-transparency-assisted decision tree.Finally,the lake was divided into the following three types:(a)the water area,(b)the submerged vegetation-dominated hydrophytes area,(c)the floating vegetation-dominated hydrophytes area.The classification approach with transparency-assisted decision tree is a good choice to have a classification of hydrophytes in Taihu Lake.We applied this approach into the Landsat TM image acquired on 15 July 2002.The classification results showed that the submerged vegetation-dominated hydrophytes end the floating vegetation-dominated hydrophytes covered an area of about 407.6km~2 and 82.2km~2,respectively.

Remote sensing information extraction of hydrophytes based on the retrieval of water transparency in Lake Taihu, China