2013
DOI: 10.3390/land2020081
|View full text |Cite
|
Sign up to set email alerts
|

Land Change in the Greater Antilles between 2001 and 2010

Abstract: Land change in the Greater Antilles differs markedly among countries because of varying socioeconomic histories and global influences. We assessed land change between 2001 and 2010 in municipalities (second administrative units) of Cuba, Dominican Republic, Haiti, Jamaica, and Puerto Rico. Our analysis used annual land-use/land-cover maps derived from MODIS satellite imagery to model linear change in woody vegetation, mixed-woody/plantations and agriculture/herbaceous vegetation. Using this approach, we focuse… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
28
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 43 publications
(28 citation statements)
references
References 44 publications
(71 reference statements)
0
28
0
Order By: Relevance
“…The land cover classes (of the forest map) and the identification/digitization of those classes' (the "forests", "shrublands" and "grasslands"; the legal category of "grasslands" is in reality dominated by phrygana vegetation (see below)) boundary lines were categorized in accordance with the provisions of the National Forest Law. Additionally, the testing and referencing procedures data were collected from Google Earth, due to the fact that it provides high-resolution imagery from data sources with spatial resolutions often as fine as <1 to 4 m [31]. The above testing procedure is important for change detection studies, because errors can be compounded by comparing (inaccurate) multitemporal data.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The land cover classes (of the forest map) and the identification/digitization of those classes' (the "forests", "shrublands" and "grasslands"; the legal category of "grasslands" is in reality dominated by phrygana vegetation (see below)) boundary lines were categorized in accordance with the provisions of the National Forest Law. Additionally, the testing and referencing procedures data were collected from Google Earth, due to the fact that it provides high-resolution imagery from data sources with spatial resolutions often as fine as <1 to 4 m [31]. The above testing procedure is important for change detection studies, because errors can be compounded by comparing (inaccurate) multitemporal data.…”
Section: Methodsmentioning
confidence: 99%
“…In this class, the building cover is less than 30% [34].  Wetlands (Marsh): According to the CORINE classification system [31], this category includes non-forested lowlands that are either flooded or liable to be inundated by still or flowing water. The vegetation consists of low, woody, semi-woody or even herbaceous vegetation.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, incorporating land use change is a priority in models forecasting future invasions. Previous studies suggested that land use changes provide opportunities for particular plants to invade an area [17][18][19], that the types of changes that promote one species might inhibit others [18], and that land use changes contribute not only to invasive species establishment but also to their spread [20,21]. The generation of forest edges and the fragmentation of contiguous forest habitats are particularly important to woody invasive plant richness [22].…”
Section: Introductionmentioning
confidence: 99%
“…The magnitude of net forest gain in our study, i.e., 311.5 km 2 , is comparable to the value of 296 km 2 reported by the World Bank. The combined expansion of 508.8 km 2 of forests and woodlands is higher than that of 268.5 km 2 reported in a coarse-scale study using MODIS images [53], largely due to the coarse resolution of the latter that limits the detection of fine-scale forest changes.…”
Section: Land Cover Land Use Mapping In the Tropicsmentioning
confidence: 59%