Application of forest canopy density model for forest cover mapping using LISS-IV satellite data: a case study of Sali watershed, West Bengal

Mt. Simpang and Mt. Tilu Nature Reserve which cover 23,000 hectares area, are the largest nature reserves in West Java (Whitten et al. 1996). Besides their important value as places of high biodiversity and as water towers, these reserves face severe threats due to habitat loss and fragmentation (MST 2000). Remote sensing has the ability to identify destructed and fragmented part of the reserves with the quickest and the most efficient way. In this research, Forest Canopy Density Model was used to detect the percentage of crown closures (canopy), which indicates the level of degradation. The model was used due to its independency from accuracy assessment. The result shows that FCD model was able to detect forest canopywithin one type vegetation. It was not able to differentiate forest canopy among two types of vegetation. Teak plantation outside the reserves showed greater FCD value than natural forest. Further research which incorporates other parameters is needed to overcome this problem.

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Assessing Hydrological Impact of Forested Area Change: A Remote Sensing Case Study

Atmosphere ◽

10.3390/atmos12070817 ◽

2021 ◽

Vol 12 (7) ◽

pp. 817

Author(s):

Mugurel Raul Sidău ◽

Csaba Horváth ◽

Maria Cheveresan ◽

Ionuț Șandric ◽

Florin Stoica

Keyword(s):

Forest Canopy ◽

Vegetation Index ◽

Forest Area ◽

Runoff Generation ◽

Canopy Density ◽

Forest Canopy Density ◽

Anthropic Influence ◽

The One ◽

The Impact

The interaction between precipitation and vegetation plays a significant role in the formation of runoff, and it is still a widely discussed issue in hydrology. The difficulty lies in estimating the degree to which a forest influences runoff generation, especially flood peaks, on the one hand, due to the small amount of information regarding the evolution of the forest area and density, and, on the other hand, the correlations between these indicators and the runoff and precipitation values. The analysis focuses on a small basin in the mountain region of Romania, the upper basin of the Ruscova River located in northwestern Romania. In this river basin, there is no significant anthropic influence, other than the intense deforestation and reforestation actions. Using satellite images captured by Landsat missions 5, 7 and 8 for the period 1985–2019, the forest canopy density vegetation index was extracted. Using a gridded precipitation dataset, a hydrological model was calibrated based on three scenarios to assess the impact of forest vegetation on the runoff. Analysis of the results of these models conducted on scenarios allowed us to deduce a simple equation for estimating the influence of forest area on maximum river flows. The analysis showed that even small differences in the forest surface area exert an influence on the peak flow, varying between −5.28% and 8.09%.

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European forest cover mapping with high resolution satellite data: The Carpathians case study

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2007.04.003 ◽

2008 ◽

Vol 10 (1) ◽

pp. 44-55 ◽

Cited By ~ 30

Author(s):

Jacek Kozak ◽

Christine Estreguil ◽

Katarzyna Ostapowicz

Keyword(s):

High Resolution ◽

Satellite Data ◽

Forest Cover ◽

The Carpathians ◽

Forest Cover Mapping ◽

European Forest

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FOREST CANOPY DENSITY ASSESSMENT USING HIGH RESOLUTION LISS-4 DATA IN YAMUNANAGAR DISTRICT, HARYANA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-5-285-2018 ◽

2018 ◽

Vol XLII-5 ◽

pp. 285-288

Author(s):

K. E. Mothi Kumar ◽

R. Kumar ◽

P. Kumar ◽

V. Sihag ◽

K. Singh ◽

...

Keyword(s):

High Resolution ◽

Forest Canopy ◽

Forest Cover ◽

Google Earth ◽

Forest Area ◽

Human Beings ◽

Canopy Density ◽

Open Forest ◽

Forest Canopy Density ◽

Scrub Land

Abstract. Forest plays an important role not only in providing ecological services but also economic goods to human beings. However, with increase in population there is a wide gap between demand and supply of these goods and services. This has lead to reduction in forest cover which needs to be taken care on regular time interval. To manage the existing forest area and also to increase the forest cover Forest Canopy Density (FCD) methodology is the main factor which was given by International Tropical timber Organization (ITTO). High resolution remote sensing LISS-4 data gives us chance to assess the quality of forest in terms of FCD as Rikimaru et al (1999) stated that FCD is one important parameter to assess forest cover quality. High resolution LISS-4 data analysis for FCD was never attempted before. Authors here attempted to assess the FCD utilizing methodology adopted by Rikimaru (1999), Huang (2001), Azizia (2008). The adopted methodology is one of the most efficient and cost effective way to derive the FCD. For this study Resourcesat-2 LISS-4 post monsoon data of year 2017 for Yamunanagar district was used to assess FCD within notified forest boundary. Notified forest boundaries at cadastral level prepared previously by Haryana Space Applications Centre (HARSAC) was used. The degree of forest canopy density is expressed in percentages: i.e. &lt;10% FCD (scrub land), 10–20% (Open Forest-I), 20–40% (Open Forest-II), 40–60% (Moderate Dense), 60–80% (Medium Dense) and &gt;80% (Highly Dense). Forest Canopy Density was based on three indices i.e. Advanced Vegetation Index (AVI), Bare Soil Index (BSI) and Canopy Shadow Index (CSI). Accuracy assessment was done based on ground data and comparison with Coterminous Google Earth imagery and it was found that the devised methodology has achieved overall accuracy of 93% with kappa coefficient of 0.9153. The result shows that maximum forest area in Yamunanagar district is in medium dense FCD category which is approximately 23948.08 acres. This study tells us that 24.2% of the total forest area is under scrub land and open forest which should be focussed for activities in working plan to increase the forest cover. This paper highlights the utility of high resolution satellite data for monitoring and management of forest and improvement in its quality. This attempt provided large scale (1:10,000) maps to the forest managers to better equip them in planning for afforestation, reforestation and rehabilitation of water logged areas, environment management and their future aspect.

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