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Journal articles on the topic 'Remote sensing - Indian Ocean'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Chauhan, Prakash, and Mini Raman. "Satellite Remote Sensing for Ocean Biology: An Indian Perspective." Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 87, no. 4 (2017): 629–40. http://dx.doi.org/10.1007/s40010-017-0439-5.

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2

YAMAZAKI, FUMIO, and MASASHI MATSUOKA. "REMOTE SENSING TECHNOLOGIES IN POST-DISASTER DAMAGE ASSESSMENT." Journal of Earthquake and Tsunami 01, no. 03 (2007): 193–210. http://dx.doi.org/10.1142/s1793431107000122.

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This paper highlights the recent applications of remote sensing technologies in post-disaster damage assessment, especially in the 2004 Indian Ocean tsunami and the 2006 Central Java earthquake. After the 2004 Indian Ocean tsunami, satellite images which captured the affected areas before and after the event were fully employed in field investigations and in tsunami damage mapping. Since the affected areas are vast, moderate resolution satellite images were quite effective in change detection due to the tsunami. Using high-resolution optical satellite images acquired before and after the 2006

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3

Sarangi, R. K. "Remote-Sensing-Based Estimation of Surface Nitrate and Its Variability in the Southern Peninsular Indian Waters." International Journal of Oceanography 2011 (January 24, 2011): 1–16. http://dx.doi.org/10.1155/2011/172731.

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A relationship between sea surface temperature (SST) and surface nitrate concentrations has been obtained for the first time based on in situ datasets retrieved from U.S. JGOFS (1991–96) and Indian cruises (2000–2006) in the Arabian Sea, Bay of Bengal and Indian Ocean region around the southern Indian tip. The dataset includes 1537 points. A sigmoid relationship obtained with value 0.912. NOAA-AVHRR pathfinder satellite monthly averaged SST data retrieved from the PODAAC/JPL/NASA archive during July 1999–June 2004. The datasets imported in the ERDAS-Imagine software and SST images generated on

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4

Yen, Kuo-Wei, and Chia-Hsiang Chen. "Research Gap Analysis of Remote Sensing Application in Fisheries: Prospects for Achieving the Sustainable Development Goals." Remote Sensing 13, no. 5 (2021): 1013. http://dx.doi.org/10.3390/rs13051013.

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Remote sensing (RS) technology, which can facilitate the sustainable management and development of fisheries, is easily accessible and exhibits high performance. It only requires the collection of sufficient information, establishment of databases and input of human and capital resources for analysis. However, many countries are unable to effectively ensure the sustainable development of marine fisheries due to technological limitations. The main challenge is the gap in the conditions for sustainable development between developed and developing countries. Therefore, this study applied the Web

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5

Yin, Zi, Qing Dong, Fanping Kong, Dan Cao, and Shuang Long. "Seasonal and Interannual Variability of the Indo-Pacific Warm Pool and its Associated Climate Factors Based on Remote Sensing." Remote Sensing 12, no. 7 (2020): 1062. http://dx.doi.org/10.3390/rs12071062.

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With satellite observed Sea Surface Temperature (SST) accumulated for multiple decades, multi-time scale variabilities of the Indo-Pacific Warm Pool are examined and contrasted in this study by separating it into the Indian Ocean sector and the Pacific Ocean sector. Surface size, zonal center, meridional center, maximum SST and mean SST as the practical warm pool properties are chosen to investigate the warm pool variations for the period 1982–2018. On the seasonal time scale, the oscillation of the Indian Warm Pool is found much more vigorous than the Pacific Warm Pool on size and intensity,

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Mathieu, Lucie, Paul Byrne, Damien Guillaume, Benjamin van Wyk de Vries, and Bertrand Moine. "The field and remote sensing analysis of the Kerguelen Archipelago structure, Indian Ocean." Journal of Volcanology and Geothermal Research 199, no. 3-4 (2011): 206–15. http://dx.doi.org/10.1016/j.jvolgeores.2010.11.013.

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7

Basu, Sujit, R. M. Gairola, and P. C. Pandey. "Remote sensing of seamounts in the Central Indian Ocean Basin using satellite altimetry." Remote Sensing Reviews 9, no. 3 (1994): 187–202. http://dx.doi.org/10.1080/02757259409532224.

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8

Syah, A. F., Z. Inayah, M. A. Partadisastra, and R. Yehezkiel. "Dissemination of angling vessels in the eastern Indian Ocean: a remote sensing perspective." IOP Conference Series: Earth and Environmental Science 584 (October 16, 2020): 012053. http://dx.doi.org/10.1088/1755-1315/584/1/012053.

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9

Manikiam, Balakrishnan. "Applications of IRS and INSAT Data with Specific Case Studies." Mapana - Journal of Sciences 13, no. 1 (2017): 85–99. http://dx.doi.org/10.12723/mjs.28.6.

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Indian satellite programme has over the past three decades achieved operational capability in the area of remote sensing. The Indian Remote Sensing (IRS) satellites are developed towards providing data for natural resources survey and management. Techniques have been developed to retrieve several parameters related to land, ocean and atmosphere. Since the launch of IRS 1A in early 80’s, the technology has improved to achieve satellite imagery with resolution of 1 meter. The Indian National satellite (INSAT) system is made up of geostationary satellites towards monitoring and study of weather o

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10

Marinelli, Marco A. "Remote sensing study of the phytoplankton spatial-temporal cycle in the southeastern Indian Ocean." Journal of Applied Remote Sensing 2, no. 1 (2008): 023510. http://dx.doi.org/10.1117/1.2902340.

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11

Kong, Fanping, Qing Dong, Kunsheng Xiang, Zi Yin, Yanyan Li, and Jingyi Liu. "Spatiotemporal Variability of Remote Sensing Ocean Net Primary Production and Major Forcing Factors in the Tropical Eastern Indian and Western Pacific Ocean." Remote Sensing 11, no. 4 (2019): 391. http://dx.doi.org/10.3390/rs11040391.

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Based on widely used remote sensing ocean net primary production (NPP) datasets, the spatiotemporal variability of NPP is first analyzed over the tropical eastern Indian and western Pacific Ocean for the period 1998–2016 using the conventional empirical orthogonal function (EOF), the lead–lag correlation and the ensemble empirical mode decomposition (EEMD) technique. Barnett and Preisendorfer’s improved Canonical Correlation Analysis (BPCCA) is also applied to derive covariability patterns of NPP with major forcing factors of the chlorophyll a concentration (Chla), sea surface temperature (SST

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12

Evers, L. G., D. N. Green, N. W. Young, and M. Snellen. "Remote hydroacoustic sensing of large icebergs in the southern Indian Ocean: Implications for iceberg monitoring." Geophysical Research Letters 40, no. 17 (2013): 4694–99. http://dx.doi.org/10.1002/grl.50914.

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13

Chang, Stephanie E., Beverley J. Adams, Jacqueline Alder, et al. "Coastal Ecosystems and Tsunami Protection after the December 2004 Indian Ocean Tsunami." Earthquake Spectra 22, no. 3_suppl (2006): 863–87. http://dx.doi.org/10.1193/1.2201971.

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An exploratory study was conducted on the role of coastal ecosystems in protecting communities from the December 2004 Indian Ocean tsunami, focusing on mangrove forests on the Andaman coast of Thailand and how well villages were undertaking environmental conservation. Remote sensing analysis identified predisaster mangrove change and postdisaster structural damage and landscape changes. Field data from five sites (20 villages), gathered via the VIEWS™ data collection system, validated and supplemented this analysis. Key informants at several of these villages were also interviewed. A prelimina

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14

Banerjee, Priyanka, S. K. Satheesh, K. Krishna Moorthy, Ravi S. Nanjundiah, and Vijayakumar S. Nair. "Long-Range Transport of Mineral Dust to the Northeast Indian Ocean: Regional versus Remote Sources and the Implications." Journal of Climate 32, no. 5 (2019): 1525–49. http://dx.doi.org/10.1175/jcli-d-18-0403.1.

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Abstract Synergizing satellite remote sensing data with vertical profiles of atmospheric thermodynamics and regional climate model simulations, we investigate the relative importance, transport pathways, and seasonality of contribution of dust from regional (Thar Desert and adjoining arid regions) and remote (southwest Asia and northeast Africa) sources over the northeast Indian Ocean [i.e., the Bay of Bengal (BOB)]. We show that while over the northern BOB dust from the regional sources contribute more than 50% to the total dust load during the southwest monsoon period (June–September), inter

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Hamylton, S., T. Spencer, and AB Hagan. "Spatial modelling of benthic cover using remote sensing data in the Aldabra lagoon, western Indian Ocean." Marine Ecology Progress Series 460 (July 24, 2012): 35–47. http://dx.doi.org/10.3354/meps09779.

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16

Jaeglé, L., P. K. Quinn, T. Bates, B. Alexander, and J. T. Lin. "Global distribution of sea salt aerosols: new constraints from in situ and remote sensing observations." Atmospheric Chemistry and Physics Discussions 10, no. 11 (2010): 25687–742. http://dx.doi.org/10.5194/acpd-10-25687-2010.

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Abstract. We combine in situ measurements of sea salt aerosols (SSA) from open ocean cruises and ground-based stations together with aerosol optical depth (AOD) observations from MODIS and AERONET, and the GEOS-Chem global chemical transport model to provide new constraints on SSA emissions over the world's oceans. We find that the GEOS-Chem model using the Gong (2003) SSA source function overestimates cruise observations of coarse mode SSA mass concentrations by factors of 2–3 at high wind speeds over the cold waters of the Southern Ocean and North Atlantic. Furthermore, the model systematica

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Samudraiah, D. R. M., M. Saxena, S. Paul, P. Narayanababu, S. Kuriakose, and A. S. Kiran Kumar. "Payload Configurations for Efficient Image Acquisition – Indian Perspective." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 1201–6. http://dx.doi.org/10.5194/isprsarchives-xl-8-1201-2014.

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The world is increasingly depending on remotely sensed data. The data is regularly used for monitoring the earth resources and also for solving problems of the world like disasters, climate degradation, etc. Remotely sensed data has changed our perspective of understanding of other planets. With innovative approaches in data utilization, the demands of remote sensing data are ever increasing. More and more research and developments are taken up for data utilization. The satellite resources are scarce and each launch costs heavily. Each launch is also associated with large effort for developing

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18

Takao, S., T. Hirawake, S. W. Wright, and K. Suzuki. "Variations of net primary productivity and phytoplankton community composition in the Indian sector of the Southern Ocean as estimated from ocean color remote sensing data." Biogeosciences 9, no. 10 (2012): 3875–90. http://dx.doi.org/10.5194/bg-9-3875-2012.

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Abstract. Phytoplankton population dynamics play an important role in biogeochemical cycles in the Southern Ocean during austral summer. Recent environmental changes such as a rise in sea surface temperature (SST) are likely to impact on net primary productivity (NPP) and phytoplankton community composition. However, their spatiotemporal relationships are still unclear in the Southern Ocean. Here we assessed the relationships between NPP, dominant phytoplankton groups, and SST in the Indian sector of the Southern Ocean over the past decade (1997–2007) using satellite remote sensing data. As a

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19

Römer, H., P. Willroth, G. Kaiser, et al. "Potential of remote sensing techniques for tsunami hazard and vulnerability analysis – a case study from Phang-Nga province, Thailand." Natural Hazards and Earth System Sciences 12, no. 6 (2012): 2103–26. http://dx.doi.org/10.5194/nhess-12-2103-2012.

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Abstract. Recent tsunami disasters, such as the 2004 Indian Ocean tsunami or the 2011 Japan earthquake and tsunami, have highlighted the need for effective risk management. Remote sensing is a relatively new method for risk analysis, which shows significant potential in conducting spatially explicit risk and vulnerability assessments. In order to explore and discuss the potential and limitations of remote sensing techniques, this paper presents a case study from the tsunami-affected Andaman Sea coast of Thailand. It focuses on a local assessment of tsunami hazard and vulnerability, including t

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20

Révillion, Christophe, Artadji Attoumane, and Vincent Herbreteau. "Homisland-IO: Homogeneous Land Use/Land Cover over the Small Islands of the Indian Ocean." Data 4, no. 2 (2019): 82. http://dx.doi.org/10.3390/data4020082.

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Many small islands are located in the southwestern Indian Ocean. These islands have their own environmental specificities and very fragmented landscapes. Generic land use products developed from low and medium resolution satellite images are not suitable for studying these small territories. This is why we have developed a land use/land cover product, called Homisland-IO, based on remote sensing processing on high spatial resolution satellite images acquired by SPOT 5 satellite between December 2012 and July 2014. This product has been produced using an object-based classification process. The

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Takao, S., T. Hirawake, S. W. Wright, and K. Suzuki. "Variations of net primary productivity and phytoplankton community composition in the Southern Ocean as estimated from ocean-color remote sensing data." Biogeosciences Discussions 9, no. 4 (2012): 4361–98. http://dx.doi.org/10.5194/bgd-9-4361-2012.

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Abstract. Phytoplankton population dynamics play an important role in biogeochemical cycles in the Southern Ocean during austral summer. Recent environmental changes such as a rise in sea surface temperature (SST) are likely to impact on net primary productivity (NPP) and phytoplankton community composition. However, their spatiotemporal relationships are still unclear in the Southern Ocean. Here we assessed the relationships between NPP, dominant phytoplankton groups, and SST in the Indian sector of the Southern Ocean over the past decade (1997–2007) using satellite remote sensing data. As a

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22

Liu, Rongjie, Jie Zhang, Tingwei Cui, and Haocheng Yu. "Impact of Monsoon-Transported Anthropogenic Aerosols and Sun-Glint on the Satellite-Derived Spectral Remote Sensing Reflectance in the Indian Ocean." Remote Sensing 13, no. 2 (2021): 184. http://dx.doi.org/10.3390/rs13020184.

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Spectral remote sensing reflectance (Rrs(λ), sr−1) is one of the most important products of ocean color satellite missions, where accuracy is essential for retrieval of in-water, bio-optical, and biogeochemical properties. For the Indian Ocean (IO), where Rrs(λ) accuracy has not been well documented, the quality of Rrs(λ) products from Moderate Resolution Imaging Spectroradiometer onboard both Terra (MODIS-Terra) and Aqua (MODIS-Aqua), and Visible Infrared Imaging Radiometer Suite onboard the Suomi National Polar-Orbiting Partnership spacecraft (VIIRS-NPP), is evaluated and inter-compared base

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23

Liu, Rongjie, Jie Zhang, Tingwei Cui, and Haocheng Yu. "Impact of Monsoon-Transported Anthropogenic Aerosols and Sun-Glint on the Satellite-Derived Spectral Remote Sensing Reflectance in the Indian Ocean." Remote Sensing 13, no. 2 (2021): 184. http://dx.doi.org/10.3390/rs13020184.

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Spectral remote sensing reflectance (Rrs(λ), sr−1) is one of the most important products of ocean color satellite missions, where accuracy is essential for retrieval of in-water, bio-optical, and biogeochemical properties. For the Indian Ocean (IO), where Rrs(λ) accuracy has not been well documented, the quality of Rrs(λ) products from Moderate Resolution Imaging Spectroradiometer onboard both Terra (MODIS-Terra) and Aqua (MODIS-Aqua), and Visible Infrared Imaging Radiometer Suite onboard the Suomi National Polar-Orbiting Partnership spacecraft (VIIRS-NPP), is evaluated and inter-compared base

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24

Mendez, M., A. Subramaniam, T. Collins, et al. "Molecular ecology meets remote sensing: environmental drivers to population structure of humpback dolphins in the Western Indian Ocean." Heredity 107, no. 4 (2011): 349–61. http://dx.doi.org/10.1038/hdy.2011.21.

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25

Khan, Sikander Nawaz. "Integration of GIS with Remote Sensing and GPS for Disaster Mitigation." Journal of Disaster Research 10, no. 2 (2015): 225–30. http://dx.doi.org/10.20965/jdr.2015.p0225.

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Natural disasters like flood, earthquake, cyclone, volcanic eruption and others are causing immense losses to the property and lives every year. Current status and actual loss information on natural hazards can be determined and also prediction for next probable disasters can be made using different remote sensing and mapping technologies. Global Positioning System (GPS) calculates the exact position of damage. It can also communicate with wireless sensor nodes embedded in potentially dangerous places. GPS provides precise and accurate locations and other related information like speed, track,

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26

Kim, Jong-Suk, Phetlamphanh Xaiyaseng, Lihua Xiong, Sun-Kwon Yoon, and Taesam Lee. "Remote Sensing-Based Rainfall Variability for Warming and Cooling in Indo-Pacific Ocean with Intentional Statistical Simulations." Remote Sensing 12, no. 9 (2020): 1458. http://dx.doi.org/10.3390/rs12091458.

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This study analyzed the sensitivity of rainfall patterns in South China and the Indochina Peninsula (ICP) using statistical simulations of observational data. Quantitative changes in rainfall patterns over the ICP were examined for both wet and dry seasons to identify hotspots sensitive to ocean warming in the Indo-Pacific sector. The rainfall variability was amplified by combined and/or independent effects of the El Niño–Southern Oscillation and the Indian Ocean Dipole (IOD). During the years of El Niño and a positive phase of the IOD, rainfall is less than usual in Thailand, Cambodia, southe

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Jacobs, Zoe L., Fatma Jebri, Meric Srokosz, et al. "A Major Ecosystem Shift in Coastal East African Waters During the 1997/98 Super El Niño as Detected Using Remote Sensing Data." Remote Sensing 12, no. 19 (2020): 3127. http://dx.doi.org/10.3390/rs12193127.

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Under the impact of natural and anthropogenic climate variability, upwelling systems are known to change their properties leading to associated regime shifts in marine ecosystems. These often impact commercial fisheries and societies dependent on them. In a region where in situ hydrographic and biological marine data are scarce, this study uses a combination of remote sensing and ocean modelling to show how a stable seasonal upwelling off the Kenyan coast shifted into the territorial waters of neighboring Tanzania under the influence of the unique 1997/98 El Niño and positive Indian Ocean Dipo

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28

Jaeglé, L., P. K. Quinn, T. S. Bates, B. Alexander, and J. T. Lin. "Global distribution of sea salt aerosols: new constraints from in situ and remote sensing observations." Atmospheric Chemistry and Physics 11, no. 7 (2011): 3137–57. http://dx.doi.org/10.5194/acp-11-3137-2011.

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Abstract. We combine in situ measurements of sea salt aerosols (SS) from open ocean cruises and ground-based stations together with aerosol optical depth (AOD) observations from MODIS and AERONET, and the GEOS-Chem global chemical transport model to provide new constraints on SS emissions over the world's oceans. We find that the GEOS-Chem model using the Gong (2003) source function overestimates cruise observations of coarse mode SS mass concentrations by factors of 2–3 at high wind speeds over the cold waters of the Southern, North Pacific and North Atlantic Oceans. Furthermore, the model sy

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29

Navas-Pereira, Denise, and Marta Vannucci. "The hydromedusae and water masses of the Indian Ocean." Boletim do Instituto Oceanográfico 39, no. 1 (1991): 25–60. http://dx.doi.org/10.1590/s0373-55241991000100003.

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This analysis of distribution and abundance of species of Hydromedusae completes a report (Vannucci & Navas, 1973b) on the ecology of Indian Ocean Hydromedusae based on the zooplankton collected during the International Indian Ocean Expedition (IIOE). Distribution and abundance are taken here to be the ecological expression of variability of species in space and time. The aim was to identify the biological signature of below surface water masses that cannot be identified by remote sensing techniques. Selected species were taken as biological units, the oceanic water masses as defined by th

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Purwanto, Purwanto, Denny Nugroho Sugianto, Muhammad Zainuri, et al. "Seasonal Variability of Waves Within the Indonesian Seas and Its Relation With the Monsoon Wind." ILMU KELAUTAN: Indonesian Journal of Marine Sciences 26, no. 3 (2021): 189–96. http://dx.doi.org/10.14710/ik.ijms.26.3.189-196.

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The previous studies have simulated the variability of the wave within the Indonesian seas which showed that the variability of wave follows the seasonal pattern. However, their analysis only consider the influence of local wind forcings. The bias and error of their simulated wave were also unclear. In the present study, we investigate the variability of wave within the Indonesian seas and its relation with the surface wind speed using the combination of reanalysis and remote sensing data with high accuracies. We split the analysis into swell and wind wave to obtain the influence of local and

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31

Chang, Shujie, Min Shao, Chunhua Shi, and Hua Xu. "Intercomparing the Response of Tropospheric and Stratospheric Temperature to Two Types of El Niño Onset." Advances in Meteorology 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/6414368.

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Based on Remote Sensing Systems-retrieved temperature data in the period of January 1979 to February 2016, the response of stratospheric and tropospheric temperature in boreal winter to two previously defined types of El Niño [spring (SP) and summer (SU)] is investigated. The results show that, the response of temperature under SP onset involves a significant positive anomaly, with a symmetric distribution about the equator over the Indian Ocean region in the lower troposphere (850 hPa) and a negative anomaly in the lower stratosphere (50 hPa). Meanwhile, in the area 30°N and 30°S of the equat

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Xu, Tengfei, Zexun Wei, Shujiang Li, et al. "Satellite-Observed Multi-Scale Variability of Sea Surface Chlorophyll-a Concentration along the South Coast of the Sumatra-Java Islands." Remote Sensing 13, no. 14 (2021): 2817. http://dx.doi.org/10.3390/rs13142817.

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The southern coast of Java is known as one of the most productive fishing grounds for tuna, feeding by nutrient-rich water along the coast caused by the subsurface water upwelling. This primary productivity can be evidenced by the high sea surface chlorophyll-a concentration (SSC). Based on satellite remote sensing products, we investigate the multi-scale variability in SSC along the Sumatra-Java coast. The results show that seasonal variability of SSCs is primarily due to monsoon-driven upwelling and rainfall in the Indian Ocean and Indonesian seas sides of the Sumatra and Java Islands, respe

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Vijaya kumar, L. J., J. K. Kishore, P. Kesava Rao, et al. "Oil Spill Map for Indian Sea Region based on Bhuvan- Geographic Information System using Satellite Images." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 1085–90. http://dx.doi.org/10.5194/isprsarchives-xl-8-1085-2014.

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Oil spills in the ocean are a serious marine disaster that needs regular monitoring for environmental risk assessment and mitigation. Recent use of Polarimetric SAR imagery in near real time oil spill detection systems is associated with attempts towards automatic and unambiguous oil spill detection based on decomposition methods. Such systems integrate remote sensing technology, geo information, communication system, hardware and software systems to provide key information for analysis and decision making. <br><br> Geographic information systems (GIS) like BHUVAN can significantly

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Kumari, B. Padma, S. H. Kulkarni, D. B. Jadhav, A. L. Londhe, and H. K. Trimbake. "Exploring Atmospheric Aerosols by Twilight Photometry." Journal of Atmospheric and Oceanic Technology 25, no. 9 (2008): 1600–1607. http://dx.doi.org/10.1175/2008jtecha1090.1.

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Abstract The instrument twilight photometer was designed, developed, and installed at the Indian Institute of Tropical Meteorology (IITM), Pune, India (18°43′N, 73°51′E), to monitor the vertical distribution of atmospheric aerosols. The instrument, based on passive remote sensing technique, is simple and inexpensive. It is operated only during twilights, and the method of retrieval of aerosol profile is based on a simple twilight technique. It functions at a single wavelength (660 nm), and a photomultiplier tube is used as a detector. The amplifier, an important component of the system, was de

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Amri, Ikhwan, and Sri Rum Giyarsih. "Quantifying urban physical growth types in Banda Aceh City after the 2004 Indian Ocean Tsunami." E3S Web of Conferences 200 (2020): 07003. http://dx.doi.org/10.1051/e3sconf/202020007003.

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Banda Aceh was the most affected city by the 2004 Indian Ocean Tsunami. This city has grown rapidly because of disaster recovery activities. Therefore, this study aims to identify the types of urban physical growth in Banda Aceh City quantitatively from 2005 to 2019. The characteristics of growth were identified by integrating geographic information systems and remote sensing. The analysis showed that the main types of urban physical growth in the city were edge-expansion in 2005-2009 and infilling in 2009-2019. The percentage of spontaneous growth area was the lowest in both periods. The proc

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McFarquhar, Greg M., Steven Platnick, Larry Di Girolamo, Hailong Wang, Gala Wind, and Guangyu Zhao. "Trade wind cumuli statistics in clean and polluted air over the Indian Ocean from in situ and remote sensing measurements." Geophysical Research Letters 31, no. 21 (2004): n/a. http://dx.doi.org/10.1029/2004gl020412.

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Sarangi, R. K. "Observation of Oceanic Eddy in the Northeastern Arabian Sea Using Multisensor Remote Sensing Data." International Journal of Oceanography 2012 (July 24, 2012): 1–9. http://dx.doi.org/10.1155/2012/531982.

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An oceanic eddy of size about 150 kilometer diameter observed in the northeastern Arabian Sea using remote sensing satellite sensors; IRS-P4 OCM, NOAA-AVHRR and NASA Quickscat Scatterometer data. The eddy was detected in the 2nd week of February in Indian Remote Sensing satellite (IRS-P4) Ocean Color Monitor (OCM) sensor retrieved chlorophyll image on 10th February 2002, between latitude 16°90′–18°50′N and longitude 66°05′–67°60′E. The chlorophyll concentration was higher in the central part of eddy (~1.5 mg/m3) than the peripheral water (~0.8 mg/m3). The eddy lasted till 10th March 2002. NOAA

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Gómez-Enri, J., P. Villares, M. Bruno, and M. Catalán. "Evidence of different ocean responses to atmospheric pressurevariations in the Atlantic, Indian and Pacific Basins as deduced fromERS-2 altimetric data." Annales Geophysicae 22, no. 2 (2004): 331–45. http://dx.doi.org/10.5194/angeo-22-331-2004.

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Abstract. The exponential increase in the use of altimeter data in oceanographic studies in the past two decades has improved the knowledge of the processes that govern the interaction between the ocean and the atmosphere. One of these processes is the response of the ocean to atmospheric pressure variations, which has been deeply analysed in the past. That response is based on the isostatic assumption used to establish a standard correction for altimetric purposes, the Inverse Barometer Correction (IBC). As a general rule, the ocean goes up/down 1cm when the atmospheric pressure goes down/up

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Deus, D., R. Gloaguen, and P. Krause. "Water balance modelling in a semi-arid environment with limited in-situ data: remote sensing coupled with satellite gravimetry, Lake Manyara, East African Rift, Tanzania." Hydrology and Earth System Sciences Discussions 8, no. 5 (2011): 8737–92. http://dx.doi.org/10.5194/hessd-8-8737-2011.

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Abstract. Accurate and up to date information on the status and trends of water balance is needed to develop strategies for conservation and the sustainable management of water resources. The purpose of this research is to estimate water balance in a semi-arid environment with limited in-situ data by using a remote sensing approach. We focus on the Lake Manyara catchment, located within the East African Rift of northern Tanzania. We use remote sensing and a semi-distributed hydrological model to study the spatial and temporal variability of water balance parameters within Manyara catchment. Sa

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Seela, Balaji Kumar, Jayalakshmi Janapati, Chirikandath Kalath Unnikrishnan, et al. "Raindrop Size Distributions of North Indian Ocean Tropical Cyclones Observed at the Coastal and Inland Stations in South India." Remote Sensing 13, no. 16 (2021): 3178. http://dx.doi.org/10.3390/rs13163178.

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The current study summarizes the raindrop size distributions (RSDs) characteristic of the North Indian Ocean (NIO) tropical cyclones (TCs) measured with ground-based disdrometers installed at the coastal (Thiruvananthapuram, 8.5335°N, 76.9047°E) and inland (Kadapa, 14.4742°N, 78.7098°E) stations in south India. The NIO TCs observed at the coastal station showed more mid- and large-size drops (>1 mm) than the inland station. On the other hand, for both inland and coastal stations, small and mid-size drops (<3 mm) primarily contributed to the total number concentration and rainfall rate. T

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Sharma, Rashmi, Neeraj Agarwal, Sujit Basu, and Vijay K. Agarwal. "Impact of Satellite-Derived Forcings on Numerical Ocean Model Simulations and Study of Sea Surface Salinity Variations in the Indian Ocean." Journal of Climate 20, no. 5 (2007): 871–90. http://dx.doi.org/10.1175/jcli4032.1.

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Abstract This study focuses on two major aspects: the impact of satellite forcings (winds and precipitation) on the simulations of a multilayer Indian Ocean (IO) model (IOM) and the analysis of the processes responsible for salinity variations in the Indian Ocean during dipole years (1994 and 1997). It is observed that the European Remote Sensing Satellite-2 (ERS-2) scatterometer wind-driven solutions describe the interannual variabilities of sea surface temperature (SST) more realistically than the National Centers for Environmental Prediction (NCEP) wind-driven solutions. The equatorial west

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Schmale, Julia, Andrea Baccarini, Iris Thurnherr, et al. "Overview of the Antarctic Circumnavigation Expedition: Study of Preindustrial-like Aerosols and Their Climate Effects (ACE-SPACE)." Bulletin of the American Meteorological Society 100, no. 11 (2019): 2260–83. http://dx.doi.org/10.1175/bams-d-18-0187.1.

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AbstractUncertainty in radiative forcing caused by aerosol–cloud interactions is about twice as large as for CO2 and remains the least well understood anthropogenic contribution to climate change. A major cause of uncertainty is the poorly quantified state of aerosols in the pristine preindustrial atmosphere, which defines the baseline against which anthropogenic effects are calculated. The Southern Ocean is one of the few remaining near-pristine aerosol environments on Earth, but there are very few measurements to help evaluate models. The Antarctic Circumnavigation Expedition: Study of Prein

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Mouquet, P., C. Alexandre, J. Rasolomamonjy, et al. "SENTINEL-1 AND SENTINEL-2 TIME SERIES PROCESSING CHAINS FOR CYCLONE IMPACT MONITORING IN SOUTH WEST INDIAN OCEAN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1593–99. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1593-2020.

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Abstract. Monitoring the spatial footprint of cyclone impacts by remote sensing offers great potential for assessing the extent of damage and monitoring the resilience of the affected territories. For this purpose, as part of the Renovrisk-Impact project, we have developed two change detection processing chains based on optical (Sentinel-2) and SAR (Sentinel-1) data. These chains have been used to track different events in different regions of the world. In this article we focus on two study sites in Madagascar: the city of Miandrivazo, which was heavily affected by severe rainfall from Cyclon

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Shan, Yulong, Ren Zhang, Ismail Gultepe, Yaojia Zhang, Ming Li, and Yangjun Wang. "Gridded Visibility Products over Marine Environments Based on Artificial Neural Network Analysis." Applied Sciences 9, no. 21 (2019): 4487. http://dx.doi.org/10.3390/app9214487.

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The reconstruction and monitoring of visibility over marine environments is critically important because of a lack of observations. To travel safely in marine environments, a high quality of visibility data is needed to evaluate navigation risk. Currently, although visibility is available through numerical weather prediction models as well as ground and spaceborne remote sensing platforms and ship measurements, issues still exist over the remote marine environments and northern latitudes. To improve visibility prediction and reduce navigational risks, gridded visibility data based on artificia

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Yu, Lisan, and Robert A. Weller. "Objectively Analyzed Air–Sea Heat Fluxes for the Global Ice-Free Oceans (1981–2005)." Bulletin of the American Meteorological Society 88, no. 4 (2007): 527–40. http://dx.doi.org/10.1175/bams-88-4-527.

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A 25-yr (1981–2005) time series of daily latent and sensible heat fluxes over the global ice-free oceans has been produced by synthesizing surface meteorology obtained from satellite remote sensing and atmospheric model reanalyses outputs. The project, named Objectively Analyzed Air–Sea Fluxes (OAFlux), was developed from an initial study of the Atlantic Ocean that demonstrated that such data synthesis improves daily flux estimates over the basin scale. This paper introduces the 25-yr heat flux analysis and documents variability of the global ocean heat flux fields on seasonal, interannual, de

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Hu, R. M., and R. S. Sokhi. "Oceanic phytoplankton, atmospheric aerosol and Raman scattering impacts on space-based ultraviolet radiance measurements." Atmospheric Chemistry and Physics Discussions 7, no. 5 (2007): 14351–67. http://dx.doi.org/10.5194/acpd-7-14351-2007.

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Abstract. Oceanic phytoplankton can affect in-water and atmospheric radiation fields. In this study, we develop case 1 (without noncovarying particles) and case 2 (including noncovarying particles) waters model including Raman scattering in order to examine the chlorophyll impacts on the Total Ozone Mapping Spectrometer (TOMS) Aerosol Index and aerosol single scattering albedo. The waters model is coupled with a radiation transfer model (VLIDORT) for calculating TOMS Aerosol Index and retrieval of aerosol single scattering albedo. The retrieval is constrained by chlorophyll concentration from

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Ionov, V. V., and V. V. Lukin. "The 10 years long monitoring of climatically significant thermic characteristics of the surface of Southern ocean by means of in situ measurements and satellite remote sensing." Arctic and Antarctic Research, no. 3 (September 30, 2017): 5–15. http://dx.doi.org/10.30758/0555-2648-2017-0-3-5-15.

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The hydrology of the Southern Ocean is characterized by several oceanic fronts that together form the largest Antarctic Circumpolar Current. The methodology of synoptical monitoring of fronts is based on observations during the seasonal maritime operations for supply of Russian Antarctic stations. It happens by use of continuous registrations of variability of horizontal gradients of temperature of sea surface layer (SSLT) in situ, and horizontal gradients of surface temperature (SST) from satellite infrared (IR) data, which are taken in real-time on board of research vessel. This makes possib

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Forêt, G., C. Flamant, S. Cautenet, et al. "The structure of the haze plume over the Indian Ocean during INDOEX: tracer simulations and LIDAR observations." Atmospheric Chemistry and Physics 6, no. 4 (2006): 907–23. http://dx.doi.org/10.5194/acp-6-907-2006.

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Abstract. Three-dimensional, nested tracer simulations of a pollution plume originating from the Indian sub-continent over the Indian Ocean, in the framework of the Indian Ocean Experiment (INDOEX), between 5 and 9 March 1999, were performed with the Regional Atmospheric Modeling System (RAMS), to provide insight into the transport patterns of the pollutants, as well as to investigate the dynamical mechanisms controlling the vertical structure of the plume and its evolution in the vicinity of the Maldives Islands. Airborne and ground-based LIDAR observations of the structure of the haze plume

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Suppasri, A., S. Koshimura, and F. Imamura. "Developing tsunami fragility curves based on the satellite remote sensing and the numerical modeling of the 2004 Indian Ocean tsunami in Thailand." Natural Hazards and Earth System Sciences 11, no. 1 (2011): 173–89. http://dx.doi.org/10.5194/nhess-11-173-2011.

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Abstract. The 2004 Indian Ocean tsunami damaged and destroyed numerous buildings and houses in Thailand. Estimation of tsunami impact to buildings from this event and evaluation of the potential risks are important but still in progress. The tsunami fragility curve is a function used to estimate the structural fragility against tsunami hazards. This study was undertaken to develop fragility curves using visual inspection of high-resolution satellite images (IKONOS) taken before and after tsunami events to classify whether the buildings were destroyed or not based on the remaining roof. Then, a

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Scopélitis, J., S. Andréfouët, S. Phinn, et al. "Changes of coral communities over 35 years: Integrating in situ and remote-sensing data on Saint-Leu Reef (la Réunion, Indian Ocean)." Estuarine, Coastal and Shelf Science 84, no. 3 (2009): 342–52. http://dx.doi.org/10.1016/j.ecss.2009.04.030.

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