A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest

Abstract. Wardhana W, Widyatmanti W, Soraya E, Soeprijadi D, Larasati B, Umarhadi DA, Hutomo YHT, Idris F, Wirabuana PYAP. 2020. A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest. Biodiversitas 21: 3946-3953. Vegetation biodiversity is one of the most...

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Autores principales:	Wahyu Wardhana, EMMA SORAYA, DJOKO SOEPRIJADI, BEKTI LARASATI, YAASIIN HENDRAWAN TRI HUTOMO, Pandu Wirabuana, WIRASTUTI WIDYATMANTI, DEHA AGUS UMARHADI, FAHMI IDRIS
Formato:	article
Lenguaje:	EN
Publicado:	MBI & UNS Solo 2020
Materias:	forest inventory hierarchical cluster hybrid remote sensing tropical rainforest vegetation biodiversity Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/60e96d622d2e424da24782e7520429b0
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spelling	oai:doaj.org-article:60e96d622d2e424da24782e7520429b02021-11-22T00:41:43ZA hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest1412-033X2085-472210.13057/biodiv/d210904https://doaj.org/article/60e96d622d2e424da24782e7520429b02020-08-01T00:00:00Zhttps://smujo.id/biodiv/article/view/6171https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Wardhana W, Widyatmanti W, Soraya E, Soeprijadi D, Larasati B, Umarhadi DA, Hutomo YHT, Idris F, Wirabuana PYAP. 2020. A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest. Biodiversitas 21: 3946-3953. Vegetation biodiversity is one of the most important indicators to evaluate the sustainability of tropical rainforest. It is commonly described by three essential variables, i.e. richness, heterogeneity, and evenness. That information is frequently collected from periodic forest inventory using terrestrial method. However, this effort needs a long-time consuming, high cost, and almost impossible to implement in the area of tropical rainforest with hard accessibility. This study investigates the potential of remote sensing as an alternative method for mapping vegetation biodiversity in a tropical rainforest. A hybrid approach of remote sensing using medium and high-resolution images was developed to recognize the attributes of vegetation biodiversity by considering three parameters derived from remote sensing data, including canopy density (C), crown diameter (D), and tree density (N). The use of a medium resolution image aimed to categorize vegetation density using Modified Soil-Adjusted Value Index (MSAVI) while a high-resolution image was utilized to acquire a more detailed spectrum for determining C, D, and N in every class of vegetation density. The relationship between C, D, N, and richness, heterogeneity, evenness was explained using hierarchical cluster analysis. Our study discovered the attributes of vegetation biodiversity in a tropical rainforest could be potentially recognized by combining C, D, and N as predictor variables.Wahyu WardhanaEMMA SORAYADJOKO SOEPRIJADIBEKTI LARASATIYAASIIN HENDRAWAN TRI HUTOMOPandu WirabuanaWIRASTUTI WIDYATMANTIDEHA AGUS UMARHADIFAHMI IDRISMBI & UNS Soloarticleforest inventoryhierarchical clusterhybrid remote sensingtropical rainforestvegetation biodiversityBiology (General)QH301-705.5ENBiodiversitas, Vol 21, Iss 9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	forest inventory hierarchical cluster hybrid remote sensing tropical rainforest vegetation biodiversity Biology (General) QH301-705.5
spellingShingle	forest inventory hierarchical cluster hybrid remote sensing tropical rainforest vegetation biodiversity Biology (General) QH301-705.5 Wahyu Wardhana EMMA SORAYA DJOKO SOEPRIJADI BEKTI LARASATI YAASIIN HENDRAWAN TRI HUTOMO Pandu Wirabuana WIRASTUTI WIDYATMANTI DEHA AGUS UMARHADI FAHMI IDRIS A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
description	Abstract. Wardhana W, Widyatmanti W, Soraya E, Soeprijadi D, Larasati B, Umarhadi DA, Hutomo YHT, Idris F, Wirabuana PYAP. 2020. A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest. Biodiversitas 21: 3946-3953. Vegetation biodiversity is one of the most important indicators to evaluate the sustainability of tropical rainforest. It is commonly described by three essential variables, i.e. richness, heterogeneity, and evenness. That information is frequently collected from periodic forest inventory using terrestrial method. However, this effort needs a long-time consuming, high cost, and almost impossible to implement in the area of tropical rainforest with hard accessibility. This study investigates the potential of remote sensing as an alternative method for mapping vegetation biodiversity in a tropical rainforest. A hybrid approach of remote sensing using medium and high-resolution images was developed to recognize the attributes of vegetation biodiversity by considering three parameters derived from remote sensing data, including canopy density (C), crown diameter (D), and tree density (N). The use of a medium resolution image aimed to categorize vegetation density using Modified Soil-Adjusted Value Index (MSAVI) while a high-resolution image was utilized to acquire a more detailed spectrum for determining C, D, and N in every class of vegetation density. The relationship between C, D, N, and richness, heterogeneity, evenness was explained using hierarchical cluster analysis. Our study discovered the attributes of vegetation biodiversity in a tropical rainforest could be potentially recognized by combining C, D, and N as predictor variables.
format	article
author	Wahyu Wardhana EMMA SORAYA DJOKO SOEPRIJADI BEKTI LARASATI YAASIIN HENDRAWAN TRI HUTOMO Pandu Wirabuana WIRASTUTI WIDYATMANTI DEHA AGUS UMARHADI FAHMI IDRIS
author_facet	Wahyu Wardhana EMMA SORAYA DJOKO SOEPRIJADI BEKTI LARASATI YAASIIN HENDRAWAN TRI HUTOMO Pandu Wirabuana WIRASTUTI WIDYATMANTI DEHA AGUS UMARHADI FAHMI IDRIS
author_sort	Wahyu Wardhana
title	A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
title_short	A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
title_full	A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
title_fullStr	A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
title_full_unstemmed	A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
title_sort	hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest
publisher	MBI & UNS Solo
publishDate	2020
url	https://doaj.org/article/60e96d622d2e424da24782e7520429b0
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A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest

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