scholarly journals A New Combination of Water Index Model Based on TM Image

Author(s):  
Rong LIU ◽  
Xin-ran NIE
Author(s):  
Suwarsono Suwarsono ◽  
Fajar Yulianto ◽  
Hana Listi Fitriana ◽  
Udhi Catur Nugroho ◽  
Kusumaning Ayu Dyah Sukowati ◽  
...  

This paper describes the detection of the surface water area in Cirata dam,  upstream Citarum, using a water index derived from Sentinel-2. MSI Level 1C (MSIL1C) data from 16 November 2018 were extracted into a water index such as the NDWI (Normalized Difference Water Index) model of Gao (1996), McFeeters (1996), Roger and Kearney (2004), and Xu (2006). Water index were analyzed based on the presence of several objects (water, vegetation, soil, and built-up). The research resulted in the ability of each water index to separate water and non-water objects. The results conclude that the NDWI of McFeeters (1996) derived from Sentinel-2 MSI showed the best results in detecting the surface water area of the reservoir.


2019 ◽  
Vol 574 ◽  
pp. 517-528 ◽  
Author(s):  
Agnieszka Szypłowska ◽  
Justyna Szerement ◽  
Arkadiusz Lewandowski ◽  
Marcin Kafarski ◽  
Andrzej Wilczek ◽  
...  

2018 ◽  
Vol 22 (S2) ◽  
pp. 3495-3504
Author(s):  
Xiong Wenjun ◽  
Qi Erna

1993 ◽  
Vol 7 (3) ◽  
pp. 560-569 ◽  
Author(s):  
David M. Alm ◽  
Edward W. Stoller ◽  
Loyd M. Wax

We present a germination and emergence model that can be used as a sub-model in an individual-based model of population dynamics. Seed germination and seedling elongation rates were measured in petri dishes in the laboratory for ivyleaf morningglory, velvetleaf, corn, and soybean seeds, as functions of temperature and water potential. The analysis yielded a set of indices: the germination temperature index (GTI), the germination water index (GWI), the emergence temperature index (ETI), and the emergence water index (EWI). The seed populations were divided into 100 discrete cohorts, with each cohort (i), having its own germination rate (GR) as the product of a reference rate and the germination indices, or GRi= GRiREF× GTI × GWI. After germination, the emergence rate (ER) was the product of a reference rate and emergence indices, or ERi= ERREF× ETI × EWI. The model was tested against the timing of emergence in the field for seeds planted 1, 2, 4, and 8 cm deep in natural or rain-excluded environments. The predictions were more accurate for all depths combined than for any particular depth.


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