Abstract
Present work attempts to use an easily available remote data to measure the spacio-temporal variation in the infestation on dominant mangrove species along Thane Creek, India. Satellite imageries of Sentinel 2 were processed in ArcGIS using Wide Dynamic Range Index (WDRI) and Normalized Difference Water Index (NDWI) to delineate the healthy and infested vegetation of mangrove. Out of total 47.03 sq.km. area of forest, in the post monsoon season of 2019, around 30.75 sq.km. was observed to be affected that amounts to be nearly 66 percent. The results obtained were found to be satisfactory after ground truthing. Thus the periodic phenomenon, though not harmful for human or mangrove vegetation, marks its significant occurrence in the ecological calendar of the creek ecosystem.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 2
Claim · model-written summary
About 30.75 sq.km of the 47.03 sq.km mangrove forest was affected in the post-monsoon season of 2019.
Verbatim
e0“Out of total 47.03 sq.km. area of forest, in the post monsoon season of 2019, around 30.75 sq.km. was observed to be affected that amounts to be nearly 66 percent”
t0“Changes in Mangrove Vegetation along Thane Creek, India”
Claim · model-written summary
The satellite-based mapping results were satisfactory after ground truthing.
Verbatim
e1“The results obtained were found to be satisfactory after ground truthing”
t0“Changes in Mangrove Vegetation along Thane Creek, India”