Remote sensing in earth systems sciences最新文献

{"title":"Assessment of Different Spectral Unmixing Techniques on Space Borne Hyperspectral Imagery","authors":"Vinay Kumar, K. Pandey, C. Panda, V. Tiwari, S. Agrawal","doi":"10.1007/s41976-022-00071-8","DOIUrl":"https://doi.org/10.1007/s41976-022-00071-8","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"78 1","pages":"129 - 140"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84711758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Monthly Precipitation Data from Three Gridded Climate Data Products over Nigeria","authors":"Samuel Toluwalope Ogunjo, C. Olusegun, I. Fuwape","doi":"10.1007/s41976-022-00069-2","DOIUrl":"https://doi.org/10.1007/s41976-022-00069-2","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"35 1","pages":"119 - 128"},"PeriodicalIF":0.0,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81500065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A WAVEWATCH III® Model Approach to Investigating Ocean Wave Source Terms for West Africa: Input-Dissipation Source Terms","authors":"B. Foli, Joseph K. Ansong, K. A. Addo, G. Wiafe","doi":"10.1007/s41976-021-00065-y","DOIUrl":"https://doi.org/10.1007/s41976-021-00065-y","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"1 1","pages":"95-117"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76135194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Global-Scale Assessment of Water Resources and Vegetation Cover Dynamics in Relation with the Earth Climate Gradient","authors":"C. Sohoulande, Hervé Awoye, K. Nouwakpo, S. Dogan, A. Szogi, K. Stone, Jerry H. Martin","doi":"10.1007/s41976-021-00063-0","DOIUrl":"https://doi.org/10.1007/s41976-021-00063-0","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"11 1","pages":"193 - 206"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88584774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forest Fire Characterization Using Landsat-8 Satellite Data in Dalma Wildlife Sanctuary.","authors":"Satendra Kumar Chaudhary,&nbsp;Arvind Chandra Pandey,&nbsp;Bikash Ranjan Parida","doi":"10.1007/s41976-022-00076-3","DOIUrl":"https://doi.org/10.1007/s41976-022-00076-3","url":null,"abstract":"<p><p>A forest fire has caused a loss of biodiversity and forest heterogeneity and resulted in forest degradation and fragmentation. Remote sensing techniques have been widely used for locating and delineating forest fires. The present study has employed Landsat-8 satellite data during 2014-2020 for spatiotemporal analysis of forest fire in Dalma Wildlife Sanctuary (DWS). Normalized burn ratio (NBR) has been used to delineate forest fire-affected locations along with visual interpretation techniques. The results showed that an extensive area was burnt and deforested due to forest fire in DWS during 2014-2020. The burned areas due to forest fires within the notified forest boundary in DWS were 12.11 km², 25.5 km², 22.45 km², 9.11 km², 24.44 km², 10.09 km², and 1 km² during 2014, 2015, 2016, 2017, 2018, 2019, and 2020, respectively, whereas burned areas outside notified boundary were 2.24 km², 4.15 km², 1.48 km², 3.29 km², 3.31 km², 1.9 km², and 0.1 km². According to visual image interpretation, the highest burned area was found in 2015 (25.5 km²), whilst the least affected was found in 2020 (1 km²), and fires were mainly seen in the degraded forests and open forest regions. The present study revealed that forest fire is more dominant in Asanbani, Pardih, Bhelaipahari, Gobargushi, Bamri, Andharjhor, Somadih, Koira, Tetla, Bochkamkocha, Sah, Rbera, and Jamdih locations/beats in DWS. Thereby, these forest beats need attention from forest managers to control fire-mediated forest degradation for the conservation and restoration of forests in DWS.</p>","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"5 4","pages":"230-245"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540144/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33513396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Satellite Oceanography-Driven Research in West Africa: a Case Study of Capacity Development in an Underserved Region.","authors":"Ebenezer S Nyadjro,&nbsp;Brian K Arbic,&nbsp;Christian E Buckingham,&nbsp;Paige E Martin,&nbsp;Edem Mahu,&nbsp;Joseph K Ansong,&nbsp;Johnson Adjetey,&nbsp;Elvis Nyarko,&nbsp;Kwasi Appeaning Addo","doi":"10.1007/s41976-021-00051-4","DOIUrl":"https://doi.org/10.1007/s41976-021-00051-4","url":null,"abstract":"<p><p>Marine business and resources play a major role in the economics and way of life in coastal West African countries. Such countries see great profitability from their marine resources while also facing challenges that come with a bordering sea. Despite this fact, there has been limited research into the optimal way for West African Coastal States to coexist with, and sustainably use their marine resources, a research deficit that is mainly due to a lack of infrastructure for in-situ work, lack of capacity development, and comprehensive datasets to undertake oceanographic research. The Coastal Ocean Environment Summer School in Ghana (COESSING; www.coessing.org) was developed to help meet some of these challenges. Each summer since 2015, ocean scientists (e.g., biologists, chemists, physicists, hydrologists) from the USA and Europe have collaborated with West African colleagues to lead a week-long intensive summer school in Accra, Ghana, alternating in location between the Regional Maritime University and the University of Ghana. The school receives in excess of 100 participants drawn from universities, government agencies, and the private sector organizations, mainly from Ghana and neighboring Liberia, Nigeria, Togo, and Benin, among others. The format of the school includes morning lectures, afternoon field trips, and hands-on laboratory exercises and one-on-one coaching of students. Important to the COESSING program is the satellite oceanography component which introduces participants to the extensive and often free, remotely sensed oceanographic datasets. Participants develop skills that allow them to access, process, and analyze these datasets in order to better understand regional oceanographic phenomena, such as upwelling, pollution, habitat characterization, sea level rise, and coastal erosion. Following the school, facilitators keep in touch with program participants, helping them acquire and analyze data for their studies, dissertations, and often graduate school applications, etc. In summary, schools such as COESSING are critical not only for science in the region but for the global ocean community as such training develops eager, bright minds while leading to improved regional observing and modeling strategies in severely under-sampled seas. Here, we describe a unique case in which satellite oceanography has led to such outcomes for countries bordering the Gulf of Guinea, West Africa.</p>","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"5 1-2","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41976-021-00051-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39175960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Complete Study on the Costliest Super Cyclone Amphan (May 2020) with Its Devastating Impact on West Bengal, India","authors":"S. Chatterjee, Smritikana Roy","doi":"10.1007/s41976-022-00066-5","DOIUrl":"https://doi.org/10.1007/s41976-022-00066-5","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"114 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77683183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance of the Ocean Color Algorithms: QAA, GSM, and GIOP in Inland and Coastal Waters","authors":"Arwa Najah, M. R. Al-Shehhi","doi":"10.1007/s41976-022-00068-3","DOIUrl":"https://doi.org/10.1007/s41976-022-00068-3","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"33 1","pages":"235 - 248"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82947407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inferring Lake Ice Status Using ICESat-2 Photon Data","authors":"G. Dandabathula, A. Bera, Srinivasa Rao Sitiraju, C. Jha","doi":"10.1007/s41976-022-00067-4","DOIUrl":"https://doi.org/10.1007/s41976-022-00067-4","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"104 1","pages":"264 - 279"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87798802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crop Health Assessment Using Sentinel-1 SAR Time Series Data in a Part of Central India","authors":"S. Kaushik, V. Mishra, M. Punia, P. Diwate, Thota Sivasankar, A. K. Soni","doi":"10.1007/s41976-021-00064-z","DOIUrl":"https://doi.org/10.1007/s41976-021-00064-z","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"241 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76922889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}