Comparison of three satellite sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands

Brown, Heidi E.; Diuk‐Wasser, Maria A.; Guan, Yongtao; Caskey, Susan Adele; Fish, Durland

doi:10.1016/j.rse.2007.10.005

Cited by 27 publications

(16 citation statements)

References 45 publications

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“…By integrating information on slope, Crowley et al [168] obtained satisfactory results in detecting hydrothermally-altered rocks contributing to the avalanches and identified the most risky areas. Brown et al [169] successfully predicted the larval mosquito (Anopheles punctipennis) presence that was positively correlated with the maximum Disease Water Stress Index (DWSI) and negatively correlated with the maximum Carter Miller Stress Index (CMSI), the minimum Normalized Difference Vegetation Index (NDVI) and the maximum Normalized Difference Water Index (NDWI).…”

Section: Disaster Applicationsmentioning

confidence: 99%

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

et al. 2018

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In the last few decades, researchers have developed a plethora of hyperspectral Earth Observation (EO) remote sensing techniques, analysis and applications. While hyperspectral exploratory sensors are demonstrating their potential, Sentinel-2 multispectral satellite remote sensing is now providing free, open, global and systematic high resolution visible and infrared imagery at a short revisit time. Its recent launch suggests potential synergies between multi-and hyper-spectral data. This study, therefore, reviews 20 years of research and applications in satellite hyperspectral remote sensing through the analysis of Earth observation hyperspectral sensors' publications that cover the Sentinel-2 spectrum range: Hyperion, TianGong-1, PRISMA, HISUI, EnMAP, Shalom, HyspIRI and HypXIM. More specifically, this study (i) brings face to face past and future hyperspectral sensors' applications with Sentinel-2's and (ii) analyzes the applications' requirements in terms of spatial and temporal resolutions. Eight main application topics were analyzed including vegetation, agriculture, soil, geology, urban, land use, water resources and disaster. Medium spatial resolution, long revisit time and low signal-to-noise ratio in the short-wave infrared of some hyperspectral sensors were highlighted as major limitations for some applications compared to the Sentinel-2 system. However, these constraints mainly concerned past hyperspectral sensors, while they will probably be overcome by forthcoming instruments. Therefore, this study is putting forward the compatibility of hyperspectral sensors and Sentinel-2 systems for resolution enhancement techniques in order to increase the panel of hyperspectral uses.

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Section: Disaster Applicationsmentioning

confidence: 99%

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

et al. 2018

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“…They found that both the Landsat 7 ETM+ and IKONOS imagery could be used to reasonably estimate habitat area, but only the IKONOS imagery could detect the presence of smaller ponds, which could be a significant source of water in which mosquitoes could breed. In 2007, Brown et al compared data from three sensors-Hyperion with 30 m resolution and hyperspectral capability, the Landsat Thematic Mapper (TM) with 30 m resolution and multi-band capability, and the Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) with between 15 and 90 m resolution and multi-band capability-in the identification of habitat suitable for mosquito production [11]. They found that the higher spectral sensitivity of Hyperion and the higher spatial resolution of ASTER yielded better results than the Landsat TM.…”

Section: Introductionmentioning

confidence: 99%

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

2013

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Mosquito-borne diseases affect millions of people worldwide. In the United States, since 1999, West Nile Virus (WNV) has infected 36,801 people and has caused the deaths of 1,580. In California, since 2002, nearly 3,600 people have been infected with WNV with an additional 124 fatalities. Analyses of remotely-and spatially-based data have proven to facilitate the study of mosquito-borne diseases, including WNV. This study proposes an efficient procedure to identify swimming pools that may serve as potential mosquito habitat. The procedure derives the Normalized Difference Water Index (NDWI) from high resolution, multi-spectral imagery to detect the presence of surface water, and then incorporates vector-based data layers within a GIS to identify residential land parcels with detectable water. This study compared the parcels identified as having water (535) with parcels known to have swimming pools (682) resulting in an accuracy of 78.4%. Nineteen of the 147 land parcels with swimming pools had backyards with enough vegetation to obscure the presence of a swimming pool from the satellite. The remaining 128 parcels lacked enough surface water for the NDWI to indicate them as actually having surface water. It is likely then that swimming pools, associated with such parcels, may have enough water in them to provide adequate habitat for mosquitoes, and so field inspection by mosquito abatement personnel would be justified.

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“…Remote sensing can be an important source of information for the study of special species such as those living in inaccessible habitats (Brown et al 2008;Estes et al 2008). The primary advantage of remote sensing is the ability to collect large quantities of habitat data over extensive areas at multiple spatial and temporal scales (Kerr and Ostrovsky 2003;Turner et al 2003;Rushton et al 2004;Wulder et al 2004).…”

Section: Discussionmentioning

confidence: 99%

Habitat Changes for Breeding Waterbirds in Yancheng National Nature Reserve, China: A Remote Sensing Study

et al. 2010

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Remote sensing combined with ground surveying was employed to detect the change of Suaeda glauca (common seepweed) community for the core area of Yancheng National Nature Reserve (YNNR) of China, which is a unique breeding habitat for three study species: Larus saundersi (Saunder's gull), Tringa tetanus (common redshank), and Sterna hirundo (common tern). Landsat TM data was used to quantify the changes of the S. glauca community between 1992, 2002, and 2007. The loss of this plant community was mainly associated with reclamation for aquaculture ponds from 1992 to 2002. Using the non-dense, mosaic pixel model from Normalized Difference Vegetation Index (NDVI), we computed the coverage information of the S. glauca community. For each study species, the S. glauca vegetation coverage characteristics were determined from GPS locations of 407 nesting site separately. The mean vegetation coverage of nesting sites of L. saundersi, T. tetanus, and S. hirundo were 35.0±6.8%, 52.2±6.9% and 24.8±3.6%, respectively. Over 15 years, coverage of S. glauca continuously increased due to an expansion of exotic Spartina alterniflora (smooth cord-grass) constraining early sucessional S. glauca. Eventually the S. glauca community may become too dense for nesting by L. saundersi and S. hirundo.

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Comparison of three satellite sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands

Cited by 27 publications

References 45 publications

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

Habitat Changes for Breeding Waterbirds in Yancheng National Nature Reserve, China: A Remote Sensing Study

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