干旱区生态环境知识资源中心(Arid): Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data

Arid

DOI	10.3390/rs12162519
	Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data
	Cornejo-Denman, Lara; Raul Romo-Leon, Jose; Hartfield, Kyle; van Leeuwen, Willem J. D.; Ponce-Campos, Guillermo E.; Castellanos-Villegas, Alejandro
通讯作者	Romo-Leon, JR
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:16
英文摘要	Natural vegetation in arid and semi-arid environments of Northwestern Mexico has been subject to transformation due to extensive and intensive human occupation related mostly to primary activities. Keystone habitats such as riparian ecosystems are extremely sensitive to land use changes that occur in their surrounding landscape. In this study, we developed remote sensing-based land cover classifications and post-classification fragmentation analysis, by using data from Landsat's moderate resolution sensors Thematic Mapper and Operational Land Imager (TM and OLI) to assess land use changes and the shift in landscape configuration in a riparian corridor of a dynamic watershed in central Sonora during the last 30 years. In addition, we derived a high spatial resolution classification (using PlanetScope-PS2 imagery) to assess the "recent state" of the riparian corridor. According to our results, riparian vegetation has increased by 40%, although only 9% of this coverage corresponds to obligate riparian species. Scrub area shows a declining trend, with a loss of more than 17,000 ha due to the expansion of mesquite and buffelgrass-dominated areas. The use of moderate resolution Landsat data was essential to register changes in vegetation cover through time, however, higher resolution PlanetScope data were fundamental for the detection of limited aerial extent classes such as obligate riparian vegetation. The unregulated development of anthropogenic activities is suggested to be the main driver of land cover change processes for arid ecosystems in this region. These results highlight the urgent need for alternative management and restoration projects in an area where there is almost a total lack of protection regulations or conservation efforts.
英文关键词	land cover change riparian ecosystems remote sensing landscape configuration
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000565438700001
WOS关键词	RIPARIAN VEGETATION ; SONORA ; TRANSFORMATION ; ENCROACHMENT ; CONSERVATION ; RESTORATION ; ECOSYSTEMS ; RICHNESS ; IMPACTS ; PRODUCTIVITY
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
来源机构	University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325987
作者单位	[Cornejo-Denman, Lara; Raul Romo-Leon, Jose; Castellanos-Villegas, Alejandro] Univ Sonora, Dept Invest Cient & Tecnol, Hermosillo 83000, Sonora, Mexico; [Hartfield, Kyle; van Leeuwen, Willem J. D.] Univ Arizona, Arizona Remote Sensing Ctr, Sch Nat Resources & Environm, 1064 E Lowell St, Tucson, AZ 85721 USA; [van Leeuwen, Willem J. D.] Univ Arizona, Sch Geog & Dev, Tucson, AZ 85721 USA; [Ponce-Campos, Guillermo E.] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ 85719 USA; [Ponce-Campos, Guillermo E.] USDA ARS, Southwest Watershed Res Ctr, 2000 E Allen Rd, Tucson, AZ 85719 USA
推荐引用方式 GB/T 7714	Cornejo-Denman, Lara,Raul Romo-Leon, Jose,Hartfield, Kyle,et al. Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data[J]. University of Arizona,2020,12(16).
APA	Cornejo-Denman, Lara,Raul Romo-Leon, Jose,Hartfield, Kyle,van Leeuwen, Willem J. D.,Ponce-Campos, Guillermo E.,&Castellanos-Villegas, Alejandro.(2020).Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data.REMOTE SENSING,12(16).
MLA	Cornejo-Denman, Lara,et al."Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data".REMOTE SENSING 12.16(2020).