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Assessment of Different Spectral Unmixing Techniques on Space Borne Hyperspectral Imagery 星载高光谱图像不同光谱分解技术的评价
Pub Date : 2022-06-10 DOI: 10.1007/s41976-022-00071-8
Vinay Kumar, K. Pandey, C. Panda, V. Tiwari, S. Agrawal
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引用次数: 1
Evaluation of Monthly Precipitation Data from Three Gridded Climate Data Products over Nigeria 三个网格化气候数据产品对尼日利亚月降水数据的评价
Pub Date : 2022-06-07 DOI: 10.1007/s41976-022-00069-2
Samuel Toluwalope Ogunjo, C. Olusegun, I. Fuwape
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引用次数: 6
A WAVEWATCH III® Model Approach to Investigating Ocean Wave Source Terms for West Africa: Input-Dissipation Source Terms 一个WAVEWATCH III®模型方法来调查西非的海浪源项:输入耗散源项
Pub Date : 2022-01-21 DOI: 10.1007/s41976-021-00065-y
B. Foli, Joseph K. Ansong, K. A. Addo, G. Wiafe
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引用次数: 6
A Global-Scale Assessment of Water Resources and Vegetation Cover Dynamics in Relation with the Earth Climate Gradient 全球尺度水资源和植被覆盖动态与地球气候梯度的关系
Pub Date : 2022-01-07 DOI: 10.1007/s41976-021-00063-0
C. Sohoulande, Hervé Awoye, K. Nouwakpo, S. Dogan, A. Szogi, K. Stone, Jerry H. Martin
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引用次数: 2
Forest Fire Characterization Using Landsat-8 Satellite Data in Dalma Wildlife Sanctuary. 利用Landsat-8卫星数据分析达尔马野生动物保护区的森林火灾特征。
Pub Date : 2022-01-01 Epub Date: 2022-10-07 DOI: 10.1007/s41976-022-00076-3
Satendra Kumar Chaudhary, Arvind Chandra Pandey, Bikash Ranjan Parida

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.

森林火灾造成生物多样性和森林异质性的丧失,并导致森林退化和破碎化。遥感技术已广泛应用于森林火灾的定位和圈定。利用2014-2020年Landsat-8卫星数据对达尔马野生动物保护区(DWS)森林火灾进行了时空分析。归一化燃烧比(NBR)已被用于描述森林火灾影响的位置以及视觉解释技术。结果表明:2014-2020年,林火导致DWS大面积烧毁和毁林;2014年、2015年、2016年、2017年、2018年、2019年和2020年,DWS通报林界内森林火灾烧毁面积分别为12.11 km2、25.5 km2、22.45 km2、9.11 km2、24.44 km2、10.09 km2和1 km2,通报林界外森林火灾烧毁面积分别为2.24 km2、4.15 km2、1.48 km2、3.29 km2、3.31 km2、1.9 km2和0.1 km2。目视图像解译结果显示,2015年火灾面积最大(25.5 km2), 2020年火灾面积最小(1 km2),火灾主要发生在退化森林和开阔林区。本研究表明,森林火灾在DWS的Asanbani、Pardih、Bhelaipahari、Gobargushi、Bamri、Andharjhor、Somadih、Koira、Tetla、Bochkamkocha、Sah、Rbera和Jamdih地区/beats占主导地位。因此,这些森林灾害需要引起森林管理者的重视,以控制火灾引起的森林退化,以保护和恢复DWS森林。
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引用次数: 1
Enhancing Satellite Oceanography-Driven Research in West Africa: a Case Study of Capacity Development in an Underserved Region. 加强西非卫星海洋学驱动的研究:一个服务不足地区能力发展的案例研究。
Pub Date : 2022-01-01 Epub Date: 2021-07-07 DOI: 10.1007/s41976-021-00051-4
Ebenezer S Nyadjro, Brian K Arbic, Christian E Buckingham, Paige E Martin, Edem Mahu, Joseph K Ansong, Johnson Adjetey, Elvis Nyarko, Kwasi Appeaning Addo

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.

海洋商业和资源在西非沿海国家的经济和生活方式中发挥着重要作用。这些国家从海洋资源中获得了巨大的利润,同时也面临着与海洋接壤的挑战。尽管如此,关于西非沿海国家与海洋资源共存和可持续利用的最佳方式的研究有限,这主要是由于缺乏现场工作的基础设施,缺乏能力发展,以及开展海洋学研究的综合数据集。加纳沿海海洋环境暑期学校(COESSING;www.coessing.org)是为了帮助应对这些挑战而开发的。自2015年以来,每年夏天,来自美国和欧洲的海洋科学家(如生物学家、化学家、物理学家、水文学家)与西非同事合作,在加纳阿克拉领导为期一周的强化暑期学校,地点在区域海事大学和加纳大学之间交替。该学院接收了来自大学、政府机构和私营部门组织的100多名学员,主要来自加纳及其邻国利比里亚、尼日利亚、多哥和贝宁等国。学校的形式包括上午讲课,下午实地考察,动手实验练习和对学生的一对一指导。COESSING项目的重要组成部分是卫星海洋学,它向参与者介绍了广泛的、通常是免费的遥感海洋数据集。参与者将培养获取、处理和分析这些数据集的技能,以便更好地了解区域海洋现象,如上升流、污染、栖息地特征、海平面上升和海岸侵蚀。随着学校的发展,辅导员与项目参与者保持联系,帮助他们获取和分析研究、论文和研究生申请等方面的数据。总之,像COESSING这样的学校不仅对该地区的科学至关重要,而且对全球海洋界也至关重要,因为这种培训培养了渴望、聪明的头脑,同时在样本严重不足的海洋中改进了区域观测和建模策略。这里,我们描述了一个独特的案例,在这个案例中,卫星海洋学为西非几内亚湾沿岸的国家带来了这样的结果。
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引用次数: 0
A Complete Study on the Costliest Super Cyclone Amphan (May 2020) with Its Devastating Impact on West Bengal, India 对最昂贵的超级气旋安潘(2020年5月)及其对印度西孟加拉邦的破坏性影响的完整研究
Pub Date : 2021-12-01 DOI: 10.1007/s41976-022-00066-5
S. Chatterjee, Smritikana Roy
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引用次数: 3
Performance of the Ocean Color Algorithms: QAA, GSM, and GIOP in Inland and Coastal Waters 海洋颜色算法的性能:内陆和沿海水域的QAA、GSM和GIOP
Pub Date : 2021-12-01 DOI: 10.1007/s41976-022-00068-3
Arwa Najah, M. R. Al-Shehhi
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引用次数: 3
Inferring Lake Ice Status Using ICESat-2 Photon Data 利用ICESat-2光子数据推断湖冰状态
Pub Date : 2021-12-01 DOI: 10.1007/s41976-022-00067-4
G. Dandabathula, A. Bera, Srinivasa Rao Sitiraju, C. Jha
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引用次数: 0
Crop Health Assessment Using Sentinel-1 SAR Time Series Data in a Part of Central India 利用Sentinel-1 SAR时间序列数据对印度中部部分地区作物健康状况进行评估
Pub Date : 2021-12-01 DOI: 10.1007/s41976-021-00064-z
S. Kaushik, V. Mishra, M. Punia, P. Diwate, Thota Sivasankar, A. K. Soni
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引用次数: 5
期刊
Remote sensing in earth systems sciences
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