PMID- 31193515
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200929
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 5
IP  - 5
DP  - 2019 May
TI  - Evaluation of Land Cover Change and Agricultural Protection Sites: A GIS and 
      Remote Sensing Approach for Ho Chi Minh City, Vietnam.
PG  - e01773
LID - 10.1016/j.heliyon.2019.e01773 [doi]
LID - e01773
AB  - Ho Chi Minh City (HCMC), economic center and most populous city of Vietnam faces 
      a strong structural change since its market liberalization in the late 1980s. Big 
      challenges occur in the form of uncontrolled urban sprawl due to rapid population 
      growth with encroachment of agricultural land, which leads to environmental and 
      climatic issues like urban heat island effects, air pollution and flooding 
      events. Remote Sensing and Geographic Information Systems (GIS) provide new 
      computer-based technologies for urban planners which can greatly ease the 
      monitoring of agricultural loss as well as improve decision making for future 
      land management. In the first part of this study, land cover change dynamics are 
      thoroughly assessed using moderate and high spatial resolution satellite imagery 
      (Landsat and SPOT) over the period 2010-2017 in 22 districts of HCMC. In the 
      second part, the land cover classification results of 2017 provide the initial 
      map for a GIS-based Multi-Criteria-Decision-Analysis (MCDA) of potential 
      agricultural protection sites. Therefore, criteria of climate adaptation and 
      ecological service are established and embedded in the GIS-compatible Compromise 
      Programming Model (CP). With the use of Analytic Hierarchy Process (AHP) by 
      Thomas L. Saaty and additional expert knowledge, appropriate weighting factors 
      have been affiliated. The results show that agricultural land decreased by more 
      than two thirds in the period considered. However, particularly the western rural 
      districts Binh Chanh and Hoc Mon still offer a great amount of valuable 
      agricultural land suitable for protection. The proposed method can serve as a 
      scientific framework for planning departments of fast growing cities to zone 
      agricultural land for protection on an early planning stage in order to ensure 
      sustainable land use development in the future.
FAU - Schaefer, Mathias
AU  - Schaefer M
AD  - TU Dortmund University, Department of Spatial Information Management and 
      Modelling, 44227, Dortmund, Germany.
FAU - Thinh, Nguyen Xuan
AU  - Thinh NX
AD  - TU Dortmund University, Department of Spatial Information Management and 
      Modelling, 44227, Dortmund, Germany.
LA  - eng
PT  - Journal Article
DEP - 20190523
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC6535582
OTO - NOTNLM
OT  - Analytic hierarchy process (AHP)
OT  - Compromise programming (CP)
OT  - Environmental science
OT  - Landsat
OT  - Multi-criteria-decision-analysis (MCDA)
OT  - SPOT
EDAT- 2019/06/14 06:00
MHDA- 2019/06/14 06:01
PMCR- 2019/05/23
CRDT- 2019/06/14 06:00
PHST- 2019/05/07 00:00 [received]
PHST- 2019/05/16 00:00 [revised]
PHST- 2019/05/16 00:00 [accepted]
PHST- 2019/06/14 06:00 [entrez]
PHST- 2019/06/14 06:00 [pubmed]
PHST- 2019/06/14 06:01 [medline]
PHST- 2019/05/23 00:00 [pmc-release]
AID - S2405-8440(19)34562-1 [pii]
AID - e01773 [pii]
AID - 10.1016/j.heliyon.2019.e01773 [doi]
PST - epublish
SO  - Heliyon. 2019 May 23;5(5):e01773. doi: 10.1016/j.heliyon.2019.e01773. eCollection 
      2019 May.