Desert Migrations Project XVIII: The archaeology of the northern Fazzan. A preliminary report

AbstractThe first reconnaissance survey of the Wadi ash-Shati, the northernmost line of the oases of the Fazzan, was carried out in 2007 and 2008. This survey aimed to locate archaeological sites of the Garamantian and historic periods in a region that, despite being on record as the most populated of the Fazzan in the historic period, was never previously systematically surveyed. Following the field survey, further examination of high-resolution satellite imagery was carried out. This allowed for the discovery of more sites and the detailed tracing of a number of cemeteries that were only partially surveyed during fieldwork. The report presents the first cross-chronological map of the Wadi ash-Shati and some interpretations of the history of occupation of the area. The future investigation of specific sites, a structured dating programme and further, more detailed, study of historic sources will provide a fuller understanding of this region.

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The analyses of the vulcanian eruption products based on combination of the IKONOS high-resolution satellite imagery and the field survey: An example of the eruption of the Asama volcano on September 1st in 2004

The Journal of the Geological Society of Japan ◽

10.5575/geosoc.2011.0012 ◽

2011 ◽

Vol 117 (12) ◽

pp. 671-685

Author(s):

Masayuki Sakagami ◽

Hisashi Sasaki ◽

Yasuyuki Miyake ◽

Sakae Mukoyama

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Field Survey ◽

Vulcanian Eruption ◽

Asama Volcano ◽

High Resolution Satellite Imagery

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DMP XIII: Reconnaissance Survey of Archaeological Sites in the Murzuq Area

Libyan Studies ◽

10.1017/s0263718900004854 ◽

2011 ◽

Vol 42 ◽

pp. 103-116 ◽

Cited By ~ 27

Author(s):

Martin Sterry ◽

David Mattingly ◽

Muftah Ahmed ◽

Toby Savage ◽

Kevin White ◽

...

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Satellite Images ◽

Archaeological Sites ◽

Settlement Systems ◽

Field Verification ◽

Reconnaissance Survey ◽

High Resolution Satellite Images ◽

Early Islamic ◽

Initial Results

AbstractReconnaissance survey in the Murzuq area, some 150 km south-east of Jarma, was carried out as part of the 2011 field programme of the Desert Migrations Project, with separate funding from the Leverhulme Trust for this element of work entitled the ‘Peopling the Desert Project’. This survey was designed to provide field verification of details of settlement systems identified and mapped from high-resolution satellite images in an area of c. 600 km2 immediately east of the oasis town of Murzuq. Examination of high-resolution QuickBird and Ikonos satellite imagery has permitted identification of a large dossier of more than 200 sites (fortified buildings known as qsur, other settlements, cemeteries, wells, fields/gardens and linear irrigation works called foggaras). The majority of these sites have never been previously noted or mapped and the date of the sites was unknown at the outset, though they clearly pertained to the historic periods. While further study of the finds and scientific dating evidence is required, the initial results of the brief field visit have major implications for our understanding of Garamantian and early Islamic settlement in south-eastern Fazzan.

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Monitoring cultural landscapes from space: Evaluating archaeological sites in the Basin of Mexico using very high resolution satellite imagery

Journal of Archaeological Science Reports ◽

10.1016/j.jasrep.2016.11.005 ◽

2016 ◽

Vol 10 ◽

pp. 363-376 ◽

Cited By ~ 6

Author(s):

Christopher T. Morehart ◽

John K. Millhauser

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Cultural Landscapes ◽

Archaeological Sites ◽

Basin Of Mexico ◽

High Resolution Satellite Imagery ◽

Very High

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SHALLOW WATER HABITAT MAPPING AND REEF FISH STOCK ESTIMATION USING HIGH RESOLUTION SATELLITE DATA

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.29244/jitkt.v5i2.7573 ◽

2013 ◽

Vol 5 (2) ◽

Cited By ~ 1

Author(s):

Vincentius P. Siregar ◽

Sam Wouthuyzen ◽

Andriani Sunuddin ◽

Ari Anggoro ◽

Ade Ayu Mustika

Keyword(s):

High Resolution ◽

Reef Fish ◽

Satellite Imagery ◽

Field Survey ◽

Coral Cover ◽

Fish Density ◽

Fish Stock ◽

Benthic Habitat ◽

Live Coral ◽

Stock Estimation

Shallow marine waters comprise diverse benthic types forming habitats for reef fish community, which important for the livelihood of coastal and small island inhabitants. Satellite imagery provide synoptic map of benthic habitat and further utilized to estimate reef fish stock. The objective of this research was to estimate reef fish stock in complex coral reef of Pulau Pari, by utilizing high resolution satellite imagery of the WorldView-2 in combination with field data such as visual census of reef fish. Field survey was conducted between May-August 2013 with 160 sampling points representing four sites (north, south, west, and east). The image was analy-zed and grouped into five classes of benthic habitats i.e., live coral (LC), dead coral (DC), sand (Sa), seagrass (Sg), and mix (Mx) (combination seagrass+coral and seagrass+sand). The overall accuracy of benthic habitat map was 78%. Field survey revealed that the highest live coral cover (58%) was found at the north site with fish density 3.69 and 1.50 ind/m2at 3 and 10 m depth, respectively. Meanwhile, the lowest live coral cover (18%) was found at the south site with fish density 2.79 and 2.18 ind/m2 at 3 and 10 m depth, respectively. Interpolation on fish density data in each habitat class resulted in standing stock reef fish estimation: LC (5,340,698 ind), DC (56,254,356 ind), Sa (13,370,154 ind), Sg (1,776,195 ind) and Mx (14,557,680 ind). Keywords: mapping, satellite imagery, benthic habitat, reef fish, stock estimation

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Identifying Urban Poverty Using High-Resolution Satellite Imagery and Machine Learning Approaches: Implications for Housing Inequality

Land ◽

10.3390/land10060648 ◽

2021 ◽

Vol 10 (6) ◽

pp. 648

Author(s):

Guie Li ◽

Zhongliang Cai ◽

Yun Qian ◽

Fei Chen

Keyword(s):

Machine Learning ◽

High Resolution ◽

Satellite Imagery ◽

Low Income ◽

Urban Poverty ◽

Image Features ◽

Housing Affordability ◽

Learning Approaches ◽

Housing Inequality ◽

High Resolution Satellite Imagery

Enriching Asian perspectives on the rapid identification of urban poverty and its implications for housing inequality, this paper contributes empirical evidence about the utility of image features derived from high-resolution satellite imagery and machine learning approaches for identifying urban poverty in China at the community level. For the case of the Jiangxia District and Huangpi District of Wuhan, image features, including perimeter, line segment detector (LSD), Hough transform, gray-level cooccurrence matrix (GLCM), histogram of oriented gradients (HoG), and local binary patterns (LBP), are calculated, and four machine learning approaches and 25 variables are applied to identify urban poverty and relatively important variables. The results show that image features and machine learning approaches can be used to identify urban poverty with the best model performance with a coefficient of determination, R2, of 0.5341 and 0.5324 for Jiangxia and Huangpi, respectively, although some differences exist among the approaches and study areas. The importance of each variable differs for each approach and study area; however, the relatively important variables are similar. In particular, four variables achieved relatively satisfactory prediction results for all models and presented obvious differences in varying communities with different poverty levels. Housing inequality within low-income neighborhoods, which is a response to gaps in wealth, income, and housing affordability among social groups, is an important manifestation of urban poverty. Policy makers can implement these findings to rapidly identify urban poverty, and the findings have potential applications for addressing housing inequality and proving the rationality of urban planning for building a sustainable society.

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Lake-to-Lake Cloud Bands: Frequencies and Locations

Monthly Weather Review ◽

10.1175/2007mwr1960.1 ◽

2007 ◽

Vol 135 (12) ◽

pp. 4202-4213 ◽

Cited By ~ 24

Author(s):

Yarice Rodriguez ◽

David A. R. Kristovich ◽

Mark R. Hjelmfelt

Keyword(s):

High Resolution ◽

Great Lakes ◽

Satellite Imagery ◽

Lake Superior ◽

Great Lakes Region ◽

Lake Effect ◽

Time Period ◽

High Resolution Satellite Imagery

Abstract Premodification of the atmosphere by upwind lakes is known to influence lake-effect snowstorm intensity and locations over downwind lakes. This study highlights perhaps the most visible manifestation of the link between convection over two or more of the Great Lakes lake-to-lake (L2L) cloud bands. Emphasis is placed on L2L cloud bands observed in high-resolution satellite imagery on 2 December 2003. These L2L cloud bands developed over Lake Superior and were modified as they passed over Lakes Michigan and Erie and intervening land areas. This event is put into a longer-term context through documentation of the frequency with which lake-effect and, particularly, L2L cloud bands occurred over a 5-yr time period over different areas of the Great Lakes region.

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