Prasai, R., Schwertner, T.W., Mainali, K., Mathewson, H., Kafley, H., Thapa, S., Adhikari, D., Medley, P. and Drake, J. (2021) Application of Google Earth Engine Python API and NAIP Imagery for Land Use and Land cover Classification: A Case Study in Florida, USA. Ecological Informatics, 66, Article ID: 101474.
https://doi.org/10.1016/j.ecoinf.2021.101474

has been cited by the following article:

• TITLE: Pre and Post Effects Assessment of Marine Ranch Construction in Chlorophyll-a Concentration Using MODIS Data and a Web-Based Tool. A Case Study in Zhelin Bay, China

  AUTHORS: Ritika Prasai

  KEYWORDS: Chlorophyll-a, Water Quality, Marine Ranch, Marine Organisms, Web-Based Tool, MODIS

  JOURNAL NAME: Computational Water, Energy, and Environmental Engineering, Vol.11 No.3, July 8, 2022

  ABSTRACT: Chlorophyll-a (Chl-a) concentration in lakes can tell a lot about a lake’s water quality and ecosystem. It is a measure of the amount of algae growing in a waterbody and can be used to monitor the trophic condition of a waterbody. We studied the pre and post effects of marine ranch construction in Chl-a concentration in Zhelin Bay, Southern China using Normalized Difference Chlorophyll Index (NDCI) and a web-based tool (https://mapcoordinates.info/). We used 8 day composite MODIS image collections of 500 m resolution and randomly selected two stations to extract the chlorophyll-a concentration values through the web-based tool. We recorded the slight increase in NDCI values in all stations after the construction of marine ranch which is a good indicator of the marine organisms’ reproduction and survival.