2015
DOI: 10.3390/land4010231
|View full text |Cite
|
Sign up to set email alerts
|

High-Precision Land-Cover-Land-Use GIS Mapping and Land Availability and Suitability Analysis for Grass Biomass Production in the Aroostook River Valley, Maine, USA

Abstract: High-precision land-cover-land-use GIS mapping was performed in four major townships in Maine's Aroostook River Valley, using on-screen digitization and direct interpretation of very high spatial resolution satellite multispectral imagery (15-60 cm) and high spatial resolution LiDAR data (2 m) and the field mapping method. The project not only provides the first-ever high-precision land-use maps for northern Maine, but it also yields accurate hectarage estimates of different land-use types, in particular grass… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
3
0
1

Year Published

2016
2016
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 21 publications
0
3
0
1
Order By: Relevance
“…However, having the higher accuracy in spatial data, the geo-referenced based high-resolution, detailed maps and satellite images [ 71 ] of different years of Karachi were taken from governmental departments ( http://www.kmc.gos.pk/ ) in tiff format. The information about various spatial data collection sources, such as high-resolution maps and satellite images, is provided in Table 1 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, having the higher accuracy in spatial data, the geo-referenced based high-resolution, detailed maps and satellite images [ 71 ] of different years of Karachi were taken from governmental departments ( http://www.kmc.gos.pk/ ) in tiff format. The information about various spatial data collection sources, such as high-resolution maps and satellite images, is provided in Table 1 .…”
Section: Methodsmentioning
confidence: 99%
“…However, remotely sensed imagery data are not detected accurately due to less visibility of earth surfaces (i.e., a maximum of 30X30 each pixel size-based data can be extracted from Landsat images). Therefore, to have the highest accuracy in land use land cover (LULC) spatial data, the geo-referenced based high Resolution of previous governmental detailed maps and authorized satellite images [ 71 ] (referred to in table 3.1) of different interval years of Karachi by responsible authority ( http://www.kmc.gos.pk/ ) were used in this research. Simultaneously, different geometric-based scientific models have been widely applied in several studies to assess the land use/land cover transformation internationally, such as the multi-agent System [ 72 , 73 ], Cellular Automata (CA) Model [ 74 , 75 ], Markov chain analysis (also called transition matrix) [ 63 , 76 , 77 ], Expert Models [ [78] , [79] , [80] , [81] ], Land Change Modeler (LCM) [ 82 ], Logistic Regression [ [83] , [84] , [85] ], and Evolutionary Models [ [86] , [87] , [88] ], etc.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Entre los métodos para la estimación de biomasa por medio del procesamiento de imágenes de satélite se encuentran: la clasificación supervisada (Luong et al, 2015;Perumal y Bhaskaran, 2010), la clasificación no supervisada (Bharatkar y Patel, 2013;Wang et al, 2015), así como la generación del Índice de Vegetación de Diferencia Normalizada (NDVI (Normalized Difference Vegetation Index,) (Ji et al , 2012;Sall et al, 2013). Este último genera un valor numérico que indica el vigor de la vegetación mediante la relación existente entre la cantidad de energía reflejada en el infrarrojo cercano y la absorbida por la vegetación en la parte del rojo (Tun et al, 2008).…”
Section: Introductionunclassified
“…Work on the use of GIS and remote sensing techniques to assess a variety of phenomena, including the geographical [3][4][5][6][7] are subject to continuous development from the 90s. These techniques are used in the analysis of various types of hazards [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%