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Remote sensing in earth systems sciences最新文献

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Development of a Raspberry Pi–Based Remote Station Prototype for Coastal Environment Monitoring 基于树莓派的海岸环境监测远程站样机研制
Pub Date : 2021-08-02 DOI: 10.1007/s41976-021-00053-2
Eli Korku Kpobi, B. Foli, K. Agyekum, G. Wiafe
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引用次数: 3
Biophysical Characterization of Forests in Western Ghats of India by Integration of Space-Borne LiDAR and Multispectral Remote Sensing 基于星载激光雷达和多光谱遥感的印度西高止山脉森林生物物理特征研究
Pub Date : 2021-07-05 DOI: 10.1007/s41976-021-00050-5
Indu Indirabai, R. R. Nidamanuri, M. Nair, Jaishanker R. Nair
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引用次数: 0
Opportunities for Gravity and GNSS Surveying to Monitor Changes in the Terrestrial Water Storage in the Congo River Basin 重力和GNSS测量监测刚果河流域陆地储水量变化的机会
Pub Date : 2021-06-25 DOI: 10.1007/s41976-021-00049-y
Donghwan Kim
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引用次数: 0
Identification of Paleochannels Using Remote Sensing: a Study on Upper Gangetic Delta in Parts of Murshidabad and Nadia Districts, West Bengal 古河道的遥感识别:西孟加拉邦穆尔西达巴德和纳迪亚部分地区恒河上游三角洲的研究
Pub Date : 2021-06-01 DOI: 10.1007/s41976-021-00047-0
Shuvasish Karmokar, Mow Halder, S. Nandy
{"title":"Identification of Paleochannels Using Remote Sensing: a Study on Upper Gangetic Delta in Parts of Murshidabad and Nadia Districts, West Bengal","authors":"Shuvasish Karmokar, Mow Halder, S. Nandy","doi":"10.1007/s41976-021-00047-0","DOIUrl":"https://doi.org/10.1007/s41976-021-00047-0","url":null,"abstract":"","PeriodicalId":91040,"journal":{"name":"Remote sensing in earth systems sciences","volume":"99 1","pages":"104-120"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74843887","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}
引用次数: 1
Estimating Water Surface Chlorophyll-a Concentration by Big Remote Sensing Data in the Persian Gulf, Bushehr 利用大遥感数据估算波斯湾水域表面叶绿素-a浓度,布什尔
Pub Date : 2021-05-04 DOI: 10.1007/s41976-021-00045-2
N. .. Tehrani, M. Janalipour, H. Babaei
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引用次数: 7
Landsat-8 Lineament Analysis for Detection of Epigenetic Mineralization Zones in Parts of Igarra Schist Belt, Southwestern Nigeria 尼日利亚西南部Igarra片岩带部分地区表生成矿带的Landsat-8线线分析
Pub Date : 2021-04-20 DOI: 10.1007/s41976-021-00046-1
M. Adepoju, I. Odeyemi, F. Akinluyi
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引用次数: 2
Utilization of WRF 3D Meteorological Data to Calculate Slant Total Delay for InSAR Atmospheric Correction 利用WRF三维气象资料计算InSAR大气校正的倾斜总延迟
Pub Date : 2021-01-25 DOI: 10.1007/s41976-020-00043-w
Xinyi Wang, Q. Zeng, Jian Jiao
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引用次数: 0
Soil Salinity Detection Using Salinity Indices from Landsat 8 Satellite Image at Rampal, Bangladesh 利用Landsat 8卫星图像盐度指数检测孟加拉国Rampal地区土壤盐度
Pub Date : 2021-01-07 DOI: 10.1007/s41976-020-00041-y
Rubaid Hassan, Z. Ahmed, M. Islam, R. Alam, Zhixiao Xie
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引用次数: 5
Influence of Super Cyclone "Amphan" in the Indian Subcontinent amid COVID-19 Pandemic. 超级气旋“安潘”对2019冠状病毒病大流行期间印度次大陆的影响。
Pub Date : 2021-01-01 Epub Date: 2021-06-12 DOI: 10.1007/s41976-021-00048-z
Shubham Kumar, Preet Lal, Amit Kumar

Tropical cyclone "Amphan" developed as a super cyclone on 19 May 2020 and caused severe impact on the landmass with very high torrential precipitation (>250 mm day-1), and extremely high wind speed (>150 km h-1) after landfall on 20 May 2020. The tropical cyclone Amphan largely affected agricultural land (78.2%) and forest, including mangroves (10.8%) in eastern India and Bangladesh. The built-up area over the trajectory of the cyclone and its proximity, including eastern parts of the Kolkata metropolitan area, was considerably affected by the cyclone due to the high population density and poor structural and community planning. Although the regions with close proximities to cyclones' trajectory (2033 km2 area under <2 km proximity) were affected severely, the presence of mangrove forest in Sundarban substantially reduced the magnitude of the tropical cyclone. A considerable decrease (~30%) in aerosol optical depth (AOD) in April-May 2020 as compared to that in 2019 is considered one of the major causes of the development of the warm pool and cyclogenesis in the Bay of Bengal. The number of COVID-19 cases increased by ~70% in the post-cyclonic period (29 May 2020) compared to that in the pre-cyclonic period (19 May 2020) illustrating the impact of the cyclonic hazard.

热带气旋“安潘”于2020年5月19日发展为超级气旋,并于2020年5月20日登陆后对陆块造成严重影响,造成超强暴雨降水(日降雨量>250毫米)和超强风速(每小时风速>150公里)。热带气旋安潘在很大程度上影响了印度东部和孟加拉国的农田(78.2%)和森林,包括红树林(10.8%)。由于人口密度高,结构和社区规划不佳,在气旋及其附近的建成区,包括加尔各答市区的东部地区,受到气旋的严重影响。虽然靠近气旋轨迹的地区(2033平方公里)面积低于
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引用次数: 18
Comparative Assessment of Vegetation Indices in Downscaling of MODIS Satellite Land Surface Temperature MODIS卫星地表温度降尺度下植被指数的比较评价
Pub Date : 2020-08-29 DOI: 10.1007/s41976-020-00040-z
Kul Vaibhav Sharma, S. Khandelwal, N. Kaul
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引用次数: 3
期刊
Remote sensing in earth systems sciences
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