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地表水体是地球表层系统各圈层相互作用的关键联结点，对社会经济发展、区域气候调节、生态系统平衡、生物多样性保护具有重要意义。随着卫星传感技术的飞速发展和地表水动态变化监测的需求增加，遥感在水体监测方面显现了巨大优势和潜力，同时也伴随一定的局限和挑战。在轨可用的卫星传感器性能各异，却很少能同时满足地表水体多尺度、多要素、多维度的监测需求。整合多类卫星传感器，构建虚拟卫星星座的遥感观测体系，能够兼顾水体...
RSE: 基于理论散射模型的区域尺度Sentinel-1A卫星观测模拟与半经验水云模型标定方法研究（图）
理论散射模型 区域尺度 Sentinel-1A卫星观测模拟 半经验水云模型标定方法
2022/10/21
土壤水分及其冻融变化在控制陆气间水热交换方面发挥着非常关键的作用，尤其是在青藏高原的寒区。合成孔径雷达（SAR）具有高空间分辨率以及对土壤水分高敏感性等特点，是当前获取区域尺度高分辨率土壤水分及冻融变化产品最重要的手段。如何在区域尺度上对微波散射模型进行有效标定，准确模拟卫星观测的后向散射系数，对于提升基于SAR的土壤水分及冻融变化反演精度具有重要意义。
自2022年3月起，长春人卫站卫星激光测距系统开启Sentinel-6A卫星观测任务。
多时相InSAR技术具有探测大范围毫米级地表形变的能力，已被广泛应用于地面沉降监测。近几年，应用多时相InSAR技术监测以高铁为代表的大尺度人造线状地物形变备受关注。本文将C波段SAR数据用于高铁沿线路基形变监测，应用相位稳定性分析和改进的StaMPS技术来增加相干性点的密度和形变参数解算的稳定性。采用研究区时间跨度为21个月的47景Sentinel-1A数据，对连（云港）盐（城）高铁及其沿线区域...
时序Sentinel-1TOPS模式SAR数据精配准
TOPS 配准 相干性 Sentinel-1 SAR 增强谱分集
2020/11/3
Sentinel-1卫星星座采用TOPS作为默认成像模式，要求方位向配准精度达到0.001像素以便确保相邻burst干涉图的相位偏差小于3°。ESD技术是消除几何配准系统误差、纠正方位向配准偏移量的有效方法，但在低相干性场景或快速去相关的条件下，该方法配准精度会随着相干的降低而衰减，并导致配准误差的传播，造成干涉图出现相位跳变。为解决这一问题，本文提出一种TOPS模式数据时间序列配准方法。该方法在...
Sentinel-1卫星TOPS模式影像通常在几何配准的基础上，再次利用Burst重叠区域进行增强谱分集处理以实现高精度配准。几何配准主要依赖卫星轨道参数，难以进一步提高其配准精度，因此Sentinel-1影像配准的关键则是通过增强谱分集准确估计出几何配准后的残余偏移量。然而，增强谱分集易受失相干噪声等因素的影响，低相干条件下难以满足0.001像素的配准精度要求。因此本文首先针对单基线条件下的增强...
基于Sentinel-1A数据的多种机器学习算法识别冰山的比较
冰山 机器学习 Sentinel-1A SAR
2020/4/20
冰山识别对于海洋环境监测和船只安全运行等具有重要的意义，是北极航道开通和北极开发过程中的重要内容。采用合成孔径雷达（SAR）影像进行冰山识别具有独特的优势，多种机器学习算法均可用于SAR影像的冰山识别中。
基于Sentinel-1A雷达影像的思茅松林蓄积量估测
森林蓄积量 Sentinel鄄1A 随机森林 纹理 特征选择 思茅松
2019/3/27
探讨C波段雷达影像估测森林蓄积量的应用潜力，建立思茅松林蓄积量遥感估测模型，为利用遥感技术快速、准确、大面积的估测森林蓄积量提供参考。以云南省普洱市思茅区思茅松林为研究对象，采用C波段双极化合成孔径雷达Sentinel-1A影像为数据源，提取影像不同极化方式下的后向散射系数。
MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS
Sentinel Forest fire NBR dNBR RBR
2018/11/19
Forest fires are frequent phenomena in Uttarakhand Himalayas especially in the months of April to May, causing major loss of valuable forest products and impact on humans through the emissions and the...
IDENTIFICATION AND MEASUREMENT OF DEFORMATION USING SENTINEL DATA AND PSINSAR TECHNIQUE IN COALMINES OF KORBA
PSInSAR Korba Sentinel-1 Deformation
2018/11/19
Natural Resources extraction for production of goods increases the stress on land and on the environment. Coal Mines are the primary source for energy production. This process increases the continuous...
COMBINED ANALYSIS OF RADARSAT-2 SAR AND SENTINEL-2 OPTICAL DATA FOR IMPROVED MONITORING OF TUBER INITIATION STAGE OF POTATO
Crop dynamics Potato SAR RADARSAT-2 Sentinel-2 Red edge
2018/11/19
Tuber initiation and tuber bulking stages are critical part of various phenological phases for potato production. Tuber initiation covers the period from the formation of spherical rhizome ends, the f...
CONSIDERATIONS ON THE USE OF SENTINEL-1 DATA IN FLOOD MAPPING IN URBAN AREAS: ANKARA (TURKEY) 2018 FLOODS
Flood Mapping Hazard Risk Sentinel Ankara (Turkey)
2018/11/19
Flood events frequently occur due to -most probably- climate change on our planet in the recent years. Rapid urbanization also causes imperfections in city planning, such as insufficient consideration...
EVAPOTRANSPIRATION ESTIMATION USING SSEBop METHOD WITH SENTINEL -2 AND LANDSAT-8 DATA SET
Evapotranspiration Sentinel-2 Landsat-8 SSEBop
2018/11/19
Estimation of evapotranspiration (ET) parameters is essential for understanding crop water requirements and to find out the ground water recharge. In situ data collection procedures are generally adop...
EXTRACTION OF BUILT-UP AREA USING HIGH RESOLUTION SENTINEL-2A AND GOOGLE SATELLITE IMAGERY
Built-up area Extraction Normalized Difference Index High Resolution Satellite Imagery Sentinel-2A Google Satellite Imagery
2018/10/30
Accurate information about the built-up area in a city or town is essential for urban planners for proper planning of urban infrastructure facilities and other basic amenities. The normalized differen...
SAR COHERENCE CHANGE DETECTION OF URBAN AREAS AFFECTED BY DISASTERS USING SENTINEL-1 IMAGERY
SAR Coherence Change Detection Coherence maps Hurricane earthquake
2018/4/30
The study focuses on two study areas: San Juan in Puerto Rico, which was affected by Hurricane Maria in September 2017, and Sarpol Zahab in Iran, which was one of the towns affected by an earthquake i...