Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-03-26 DOI: 10.34133/2021/3962350

Hong Zhao, Yijian Zeng, J. Wen, Xin Wang, Zuoliang Wang, X. Meng, Z. Su

引用次数: 11

Mapping Crop Phenology in Near Real-Time Using Satellite Remote Sensing: Challenges and Opportunities 利用卫星遥感近实时绘制作物物候:挑战与机遇

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-03-24 DOI: 10.34133/2021/8379391

F. Gao, Xiaoyang Zhang

{"title":"Mapping Crop Phenology in Near Real-Time Using Satellite Remote Sensing: Challenges and Opportunities","authors":"F. Gao, Xiaoyang Zhang","doi":"10.34133/2021/8379391","DOIUrl":"https://doi.org/10.34133/2021/8379391","url":null,"abstract":"Crop phenology is critical for agricultural management, crop yield estimation, and agroecosystem assessment. Traditionally, crop growth stages are observed from the ground, which is time-consuming and lacks spatial variability. Remote sensing Vegetation Index (VI) time series has been used to map land surface phenology (LSP) and relate to crop growth stages mostly after the growing season. In recent years, high temporal and spatial resolution remote sensing data have allowed near-real-time mapping of crop phenology within the growing season. This paper summarizes two classes of near-real-time mapping methods, i.e., curve-based and trend-based approaches. The curve-based approaches combine the time series VIs and crop growth stages from historical years with the current observations to estimate crop growth stages. The curve-based approaches are capable of a shortterm prediction. The trend-based approaches detect upward or downward trends from time series and confirm the trends using the increasing or decreasing momentum and VI thresholds. The trend-based approaches only use current observations. Both curve-based and trend-based approaches are promising in mapping crop growth stages timely. Nevertheless, mapping crop phenology near real-time is challenging since remote sensing observations are not always sensitive to crop growth stages. The accuracy of crop phenology detection depends on the frequency and availability of cloud-free observations within the growing season. Recent satellite datasets such as the harmonized Landsat and Sentinel-2 (HLS) are promising for mapping crop phenology within the season over large areas. Operational applications in the near future are feasible.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"2021 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46266445","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: 66

A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020 1995-2020年MODIS LAI/FPAR产品文献计量可视化综述

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-03-18 DOI: 10.34133/2021/7410921

Kai Yan, Dongxiao Zou, G. Yan, H. Fang, M. Weiss, M. Rautiainen, Y. Knyazikhin, R. Myneni

{"title":"A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020","authors":"Kai Yan, Dongxiao Zou, G. Yan, H. Fang, M. Weiss, M. Rautiainen, Y. Knyazikhin, R. Myneni","doi":"10.34133/2021/7410921","DOIUrl":"https://doi.org/10.34133/2021/7410921","url":null,"abstract":"The MODIS LAI/FPAR products have been widely used in various fields since their first public release in 2000. This review intends to summarize the history, development trends, scientific collaborations, disciplines involved, and research hotspots of these products. Its aim is to intrigue researchers and stimulate new research direction. Based on literature data from the Web of Science (WOS) and associated funding information, we conducted a bibliometric visualization review of the MODIS LAI/FPAR products from 1995 to 2020 using bibliometric and social network analysis (SNA) methods. We drew the following conclusions: (1) research based on the MODIS LAI/FPAR shows an upward trend with a multiyear average growth rate of 24.9% in the number of publications. (2) Researchers from China and the USA are the backbone of this research area, among which the Chinese Academy of Sciences (CAS) is the core research institution. (3) Research based on the MODIS LAI/FPAR covers a wide range of disciplines but mainly focus on environmental science and ecology. (4) Ecology, crop production estimation, algorithm improvement, and validation are the hotspots of these studies. (5) Broadening the research field, improving the algorithms, and overcoming existing difficulties in heterogeneous surface, scale effects, and complex terrains will be the trend of future research. Our work provides a clear view of the development of the MODIS LAI/FPAR products and valuable information for scholars to broaden their research fields.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"2021 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2021-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42050813","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: 13

Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? 海洋漏油的光学遥感：真正可能的是什么？

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-13 DOI: 10.34133/2021/9141902

Chuanmin Hu, Yingcheng Lu, Shaojie Sun, Yongxue Liu

引用次数: 35

RSE-based flooding prediction within territories of closed coal mines of Ukraine 乌克兰关闭煤矿区域内基于rse的洪水预测

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-09 DOI: 10.36023/UJRS.2021.8.1.188

O. Ulytsky, K. Boiko

{"title":"RSE-based flooding prediction within territories of closed coal mines of Ukraine","authors":"O. Ulytsky, K. Boiko","doi":"10.36023/UJRS.2021.8.1.188","DOIUrl":"https://doi.org/10.36023/UJRS.2021.8.1.188","url":null,"abstract":"The article highlights the aspects of RSE technologies adaptation during the forward hydrogeological predictions development and for the purposes of the surface flooding zones spreading estimation within coal-mines fields, being flooded. Previously developed numerical geofiltration model allows to return filtration settings of the massif of rocks, that was broken due to coal extraction, and to identify the influence features of the mine workings flooding regime on the general hydrodynamic settings around the flooded mines. As a result of geofiltration modeling the forecast cartographic scheme of groundwater table level position at the final stage of mine workings flooding was obtained. To take into account the influence of surface subsidence over the mine workings on flooding zones distribution, the values of maximum possible vertical surface displacements over the mine workings contours were calculated, based on geological and surveying data. The relief mathematical model was developed with given expected vertical deformations using the GIS-techniques and the original DEM of the territory.The result of the radar satellites images processing is a cartographic model that demonstrates the intensity of uplift movements of the earth surface. Areas of distribution of large-amplitude movements (10-20 mm/year) were determines. As a result, an updated scheme of the forecasted flooded zones was developed.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"8 1","pages":"18-25"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45212987","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: 2

Tectonolinament framework of the Black Sea region and the surrounding areas 黑海地区及其周边地区的构造线性框架

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-09 DOI: 10.36023/UJRS.2021.8.1.189

V. Pokalyuk, I. Lomakin, V. Verkhovtsev, V. Kochelab

{"title":"Tectonolinament framework of the Black Sea region and the surrounding areas","authors":"V. Pokalyuk, I. Lomakin, V. Verkhovtsev, V. Kochelab","doi":"10.36023/UJRS.2021.8.1.189","DOIUrl":"https://doi.org/10.36023/UJRS.2021.8.1.189","url":null,"abstract":"Modern high-precision global digital 3-d models of the relief of the continents and the ocean floor (SRTM, GEBCO) are the objective basis to clarify the structure and features of the organization of the planetary fault network of of the Black Sea region and adjacent areas of the Mediterranean mobile belt and surrounding platform areas, to find out the location of the main transregional supermegalineaments forming the deep structural-tectonic framework of the territory. A complete consistency of the structural plan of faults and fault zones within the sea areas and continental surroundings is established. The structural position of the Black Sea basin as a whole is determined by its location at the intersection area (superposition, interference) of the diagonal (subdiagonal) transcontinental tectonolinament belts: the north-west – Elba-Zagros, Caucasus-Kopetdag, and the north-east – Atlas- Black Sea. The absence of large-scale lateral displacements at the intersection nodes of differently oriented supermegalineament systems indicates the relative autonomous stationarity and inheritance of the formation of the lyneament framework during the entire Mezozoic-Cenozoic and relatively low-shear nature of its implementation. This feature of the Black Sea region structural pattern significantly limits the possibility of using neomobilistic geodynamic models to explain the history of the geological development of the region. The strict consistency and orderliness of the lineament framework can be ensured only by global planetary factors associated with the influence of the rotational regime of the Earth's shells on the stress distribution in the lithosphere.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"8 1","pages":"26-44"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47635173","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

Adaptive methods of detecting environmental changes using multispectral satellite images on the Earth for example territory Solotvyno 利用地球上的多光谱卫星图像探测环境变化的自适应方法，例如Solotvyno地区

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-09 DOI: 10.36023/UJRS.2021.8.1.187

V. Yakimchuk, K. Sukhanov, O. Tomchenko

{"title":"Adaptive methods of detecting environmental changes using multispectral satellite images on the Earth for example territory Solotvyno","authors":"V. Yakimchuk, K. Sukhanov, O. Tomchenko","doi":"10.36023/UJRS.2021.8.1.187","DOIUrl":"https://doi.org/10.36023/UJRS.2021.8.1.187","url":null,"abstract":"The methods for detecting environmental changes using two multispectral multispectral space images of the Earth, which can be used to assess changes in the ecological and geological environment to control the dynamics of processes in real time, in order to prevent environmental emergencies. The creation and operation of a system of continuous geoecological monitoring based on space information involves the detection of relative changes in the environment on two multispectral space images of the Earth, obtained after a certain period of time. To do this, it is necessary to develop and apply adaptive methods (indices) for detecting relative changes. Three methods are proposed that are adapted to specific images to find the optimal solution that maximizes the relative changes in two different time multispectral space images of the Earth. The first method selects one optimal channel from all channels of the space image, the second method - two optimal channels from all channels and the third - four optimal channels from all channels. There are known methods that assess the presence or absence of changes in two space images at different times, but they do not provide information about the direction of changes. The proposed indices can take positive and negative values, reflecting the trend of changes on the ground. The negative values of the indices obtained in the area near the village of Solotvyno, Tyachiv district, Zakarpattia region, correspond to the areas with the most dynamic changes in the environment of such exogenous processes as karst funnels and lakes, and positive values correspond to increasing vegetation areas. The results of comparing the application of the change detection index on two different multispectral space images of the Earth on four, two channels and one channel showed that increasing the number of channels can give a more reasonable picture of changes, but to concretize these changes requires ground-based observations.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"8 1","pages":"10-17"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47496500","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

The Assessment of Cross Calibration/Validation Accuracy for KOMPSAT-3 Using Landsat 8 and 6S 利用Landsat 8和6S对KOMPSAT-3交叉校准/验证精度的评估

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-01 DOI: 10.7780/KJRS.2021.37.1.10

Cheonggil Jin, Chuluong Choi

{"title":"The Assessment of Cross Calibration/Validation Accuracy for KOMPSAT-3 Using Landsat 8 and 6S","authors":"Cheonggil Jin, Chuluong Choi","doi":"10.7780/KJRS.2021.37.1.10","DOIUrl":"https://doi.org/10.7780/KJRS.2021.37.1.10","url":null,"abstract":"In this study, we performed cross calibration of KOMPSAT-3 AEISS imaging sensor with reference to normalized pixels in the Landsat 8 OLI scenes of homogenous ROI recorded by both sensors between January 2014 and December 2019 at the Libya 4 PICS. Cross calibration is using images from a stable and well-calibrated satellite sensor as references to harmonize measurements from other sensors and/or characterize other sensors. But cross calibration has two problems; RSR and temporal difference. The RSR of KOMPSAT-3 and Landsat 8 are similar at the blue and green bands. But the red and NIR bands have a large difference. So we calculate SBAF of each sensor. We compared the SBAF estimated from the TOA Radiance simulation with KOMPSAT-3 and Landsat 8, the results displayed a difference of about 2.07~2.92% and 0.96~1.21% in the VIS and NIR bands. Before SBAF, Reflectance and Radiance difference was 0.42~23.23%. Case of difference temporal, we simulated by 6S and Landsat 8 for alignment the same acquisition time. The SBAF-corrected cross calibration coefficients using KOMPSAT-3, 6S and simulated Landsat 8 compared to the initial cross calibration without correction demonstrated a percentage difference in the spectral bands of about 0.866~1.192%. KOMPSAT-3 maximum uncertainty was estimated at 3.26~3.89%; errors due to atmospheric condition minimized to less than 1% (via 6S); Maximum deviation of KOMPSAT-3 DN was less than 1%. As the result, the results affirm that SBAF and 6s simulation enhanced cross-calibration accuracy.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"37 1","pages":"123-137"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71375727","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

Evaluation of GSICS Correction for COMS/MI Visible Channel Using S-NPP/VIIRS 基于S-NPP/VIIRS的COMS/MI可见信道GSICS校正评估

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-01 DOI: 10.7780/KJRS.2021.37.1.14

Donghyun Jin, Soobong Lee, Seon-Young Lee, Daeseong Jung, Suyoung Sim, M. Huh, Kyung-soo Han

引用次数: 0

The Estimated Source of 2017 Pohang Earthquake Using Surface Deformation Modeling Based on Multi-Frequency InSAR Data 基于多频InSAR数据的地表形变模拟预测2017年浦项地震震源

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2021-02-01 DOI: 10.7780/KJRS.2021.37.1.5

M. Fadhillah, Chang-Wook Lee

{"title":"The Estimated Source of 2017 Pohang Earthquake Using Surface Deformation Modeling Based on Multi-Frequency InSAR Data","authors":"M. Fadhillah, Chang-Wook Lee","doi":"10.7780/KJRS.2021.37.1.5","DOIUrl":"https://doi.org/10.7780/KJRS.2021.37.1.5","url":null,"abstract":"An earthquake occurred on 17 November 2017 in Pohang, South Korea with a strength of 5.4 Mw. This is the second strongest earthquake recorded by local authorities since the equipment was first installed. In order to improve understanding of earthquakes and surface deformation, many studies have been conducted according to these phenomena. In this research, we will estimate the surface deformation using the Okada model equation. The SAR images of three satellites with different wavelengths (ALOS-2, Cosmo SkyMed and Sentinel-1) were used to produce the interferogram pairs. The interferogram is used as a reference for surface deformation changes by using Okada to determine the source of surface deformation that occurs during an earthquake. The Non-linear optimization (Levemberg-Marquadrt algorithm) and Monte Carlo restart was applied to optimize the fault parameter on modeling process. Based on the modeling results of each satellite data, the fault geometry is ~6 km length, ~2 km width and ~5 km depth. The root mean square error values in the surface deformation model results for Sentinel, CSK and ALOS are 0.37 cm, 0.79 cm and 1.47 cm, respectively. Furthermore, the results of this modeling can be used as learning material in understanding about seismic activity to minimize the impacts that arise in the future.","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":"37 1","pages":"57-67"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48606512","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

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