東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Land change history of oil palm plan...

Tomita, Atsushi.

FindBook

Google Book

Amazon

博客來

Land change history of oil palm plantations in northern Bengkulu Province, Sumatra Island, reconstructed from Landsat satellite archives.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Land change history of oil palm plantations in northern Bengkulu Province, Sumatra Island, reconstructed from Landsat satellite archives./
作者:	Tomita, Atsushi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	232 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Contained By:	Dissertation Abstracts International78-07B(E).
標題:	Remote sensing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255669
ISBN:	9781369563290

Land change history of oil palm plantations in northern Bengkulu Province, Sumatra Island, reconstructed from Landsat satellite archives.
Tomita, Atsushi.

Land change history of oil palm plantations in northern Bengkulu Province, Sumatra Island, reconstructed from Landsat satellite archives. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 232 p.

Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.

Thesis (Ph.D.)--City University of New York, 2017.

This item is not available from ProQuest Dissertations & Theses.

As of today, in the early twenty-first century, the Earth's surface has been largely exploited by human activities, which will have long-term effects on land cover and earth systems. However, precise knowledge of changes of the Earth's surface in many hotspots of land change is lacking. To fill this information gap, a method for monitoring land use changes is developed in this dissertation that uses multi-temporal satellite data to investigate the land conversion of oil palm plantation in tropical Asia, where oil palm plantations play a major role in drastic land changes and deforestation.

ISBN: 9781369563290Subjects--Topical Terms:

535394
Remote sensing.

Land change history of oil palm plantations in northern Bengkulu Province, Sumatra Island, reconstructed from Landsat satellite archives.
LDR:06757nmm a2200409 4500 001 2161062
005 20180821113840.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9781369563290
035 $a (MiAaPQ)AAI10255669
035 $a (MiAaPQ)minarees:14481
035 $a AAI10255669
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tomita, Atsushi. $3 3349005
245 1 0 $a Land change history of oil palm plantations in northern Bengkulu Province, Sumatra Island, reconstructed from Landsat satellite archives.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 232 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
500 $a Adviser: Ines M. Miyares.
502 $a Thesis (Ph.D.)--City University of New York, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a As of today, in the early twenty-first century, the Earth's surface has been largely exploited by human activities, which will have long-term effects on land cover and earth systems. However, precise knowledge of changes of the Earth's surface in many hotspots of land change is lacking. To fill this information gap, a method for monitoring land use changes is developed in this dissertation that uses multi-temporal satellite data to investigate the land conversion of oil palm plantation in tropical Asia, where oil palm plantations play a major role in drastic land changes and deforestation.
520 $a The booming oil palm plantation industry in tropical Asia is transforming both preexisting natural landscapes and landscapes affected by human activity into a wide-spread monoculture landscape. This drastic change will cause serious environmental degradation and have long-term impacts on local socioeconomics and land use. To grasp the process of land transformation, it is important to understand the roles of the local factors that are physically, economically and societally embedded at various spatial and temporal scales.
520 $a Because most oil palm plantations have developed in tropical Asia, this area is an ideal test site for investigating the outcomes of land use changes, such as the co-evolutionary development of land in favor of oil palm plantations, land use conflicts and environmental concerns. Consequently, a satellite remote sensing method was developed in this study that could provide reliable spatio-temporal knowledge of land use and land cover changes at fine scales.
520 $a The selected study area is located in the northern part of Bengkulu Province on Sumatra Island, where natural landscapes and landscapes affected by human activity have widely been transformed to oil palm plantations since the late 1980s, which coincides with the first available regular Landsat satellite observations. Although spectral information of the land surface has been continuously recorded by the Landsat satellites since the 1980s, the availability and quality of the data were reduced by cloud cover and other atmospheric disturbances. A comprehensive, cloud-free Landsat dataset was created from all the available Landsat data from 1988 to 2015. The pixel-based dataset was converted into a polygon-based dataset by applying the multi-temporal image segmentation method. The representation of the spectral information was also reduced to a single index of IB45 (Index derived from Band4 and Band5), the ratio of the near-infrared (Band 4) to mid-infrared (Band 5) bands, which was the most suitable index for detecting and tracking the transformation of land to oil palm plantation.
520 $a To extract (or segment) targeted land changes and land uses from a given temporal profile predicted by land change scenarios, an extended concept of segmentation was applied to develop a Land Change Detection Model (LCM). The segmented profiles were then evaluated by using bio-physical metrics in the Land Definition Model (LDM) to define the land uses. The two-tiered LC/LD Model could detect not only large-scale land changes caused by private companies but also small-scale changes caused by smallholders, which is supposedly the most uncertain factor for considering the future development of oil palm development at high spatio-temporal resolutions.
520 $a Relationships between local factors and two land change phenomena, the conversion to oil palm plantations and deforestation, have been investigated using quantitative assessments such as Logistic Regression analysis. The results indicated that large sized plantation enterprises were likely to directly convert untouched natural land and are consequently the main contributor to deforestation. In contrast, smallholders mainly converted preexisting farmland to oil palm plantations. The enterprise (private companies) and smallholder plantations had very different spatial and temporal characteristics. The enterprise plantations were densely and homogeneously packed within extensive and regular shaped boundaries. Because all the land conversion occurred during a short period, the plants all had similar ages. Few connections have been detected between local variables and the development of the enterprise plantations. Smallholder developments were very spatially and temporally inhomogeneous. Some local factors that represent the 'proximity of development', such as the pre-existence of nearby oil palm plantations and mills, were strongly correlated with smallholder development along with geographical factors.
520 $a The results underwrote the assumption that mills were the major local driver of oil palm development. In addition, the results strongly indicated that oil palm development had resulted in the construction of independent mills, whose locations and dates of construction were strongly connected to the profitability resulting from receiving a sufficient supply of fresh oil palm fruit bunches. Regardless of whether plantations were formed by enterprises or independently, most mills were constructed on land previously affected by humans as of the late 1980s, and all the initial development of enterprise plantations occurred in the forest . This result strongly implied that, given the locations of pristine forests, the cultivation of land and infrastructure development, such as mill construction, strongly favored oil palm development in the northern region of Bengkulu Province, which clearly contrasts the underdevelopment in the southern part of the province.
590 $a School code: 0046.
650 4 $a Remote sensing. $3 535394
650 4 $a Environmental studies. $3 2122803
650 4 $a Plant sciences. $3 3173832
650 4 $a Geography. $3 524010
690 $a 0799
690 $a 0477
690 $a 0479
690 $a 0366
710 2 $a City University of New York. $b Earth & Environmental Sciences. $3 1035295
773 0 $t Dissertation Abstracts International $g 78-07B(E).
790 $a 0046
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255669