This article presents a 2017 LiDAR-DEM guided 1-m resolution examination of field-surveyed elevation and soil property variations (5 × 5 m spacings) conducted in 1977 across a hummocky New Brunswick field used fo...This article presents a 2017 LiDAR-DEM guided 1-m resolution examination of field-surveyed elevation and soil property variations (5 × 5 m spacings) conducted in 1977 across a hummocky New Brunswick field used for potato production. This examination revealed that the field incurred minor elevation differences likely due to upslope erosion as revealed through increasing Sand % and CF % with increasing elevation, and increasing Silt % along low-lying areas. Soil moisture, field capacity, permanent wilting and nitrate nitrogen (NO<sub>3</sub>-N) also increased at downslope locations. Directly as well as indirectly, soil pH, ammonium nitrogen (NH<sub>4</sub>-N), Caesium<sup>137</sup> (Cs<sup>137</sup>) and Mehlich-3 extracted Ca, Mg, K, Fe, Mn, Cu, and Zn were likewise affected by topographic location. Factor analyzing these variables led to: 1) a Soil Loss Factor that captured 24% of the textural variations;2) a Soil-Cropping Factor accounting for 16% of the N, P, K, Ca, Mg, Mn variations;3) a Soil Organic Matter (SOM) Factor relating 9% of the in-field variations for SOM, Fe, Zn, Cu to via organo-metal complexation and low NO<sub>3</sub>-N retention. Many of the topographic variations increased or decreased with the metric DEM-projected depth-to-water index (DTW) index. This index was set to 0 along DEM-derived flow channels with minimum upslope flow-accumulation areas of 0.1, 0.25, 0.5, 1 or 4 ha. Among these, the DTW > 4 ha threshold was useful for reproducing the textural variations, while the DTW > 0.25 ha threshold assisted in capturing trends pertaining to moisture retention and elemental concentrations.展开更多
覆盖近乎全球的30 m ASTER DEM已经对公众开放,为研究全球尺度问题提供了较好的数据基础,但其数据精度和质量在我国区域内存在较多不确定性。研究了利用全国1∶50000高程数据对ASTER DEM数据异常进行修补的技术路线,从而为实现利用多源...覆盖近乎全球的30 m ASTER DEM已经对公众开放,为研究全球尺度问题提供了较好的数据基础,但其数据精度和质量在我国区域内存在较多不确定性。研究了利用全国1∶50000高程数据对ASTER DEM数据异常进行修补的技术路线,从而为实现利用多源DEM数据更新现有数据提供质量与可靠性保证,也为我国构建全球基础DEM数据库提供了一种有效的参考。展开更多
LuTan-1(LT-1)is a constellation with two full-polarization L-band radar satellites designed by China,and the first satellite was scheduled to be launched in December 2021 and the second one in January 2022.The LT-1 wi...LuTan-1(LT-1)is a constellation with two full-polarization L-band radar satellites designed by China,and the first satellite was scheduled to be launched in December 2021 and the second one in January 2022.The LT-1 will be operated for deformation monitoring in repeat-pass mode,and for DEM generation in bistatic mode,improving self-sufficiency of SAR data for the field of geology,earthquake,disaster reduction,geomatics,forestry and so on.In this paper,we focused on designing an algorithm for interferometric DEM generation using LT-1 bistatic satellites.The basic principle,main error sources and errors control of the DEM generation algorithm of LT-1 were systematically analyzed.The experiment results demonstrated that:①The implemented algorithm had rigorous resolution with a theoretic accuracy better than 0.03 m for DEM generation.②The errors in satellite velocity and Doppler centroid had no obvious effect on DEM accuracy and they could be neglected.While the errors in position,baseline,slant range and interferometric phase had a significant effect on DEM accuracy.And the DEM error caused by baseline error was dominated,followed by the slant range error,interferometric phase error and satellite position error.③To obtain an expected DEM accuracy of 2 m,the baseline error must be strictly controlled and its accuracy shall be 1.0 mm or better for Cross-Track and Normal-Direction component,respectively.And the slant range error and interferometric phase error shall be reasonably controlled.The research results were of great significance for accurately grasping the accuracy of LT-1 data products and their errors control,and could provide a scientific auxiliary basis for LT-1 in promoting global SAR technology progress and the generation of high-precision basic geographic data.展开更多
The objective of the study was to estimate the change detection in a surface area and volume ana- lysis of the lime stone quarry for the year 2006 and 2014 in Mannur, Tirunelveli district, Tamilnadu. Though the mining...The objective of the study was to estimate the change detection in a surface area and volume ana- lysis of the lime stone quarry for the year 2006 and 2014 in Mannur, Tirunelveli district, Tamilnadu. Though the mining activities are essential for the cement factory, it depletes the ground water table and causes pollution to the Environment. The Integration of Remote Sensing and GIS are effective for analyzing the impact of quarrying on natural resources. In this study, Cartosat-1 satellite data generated Digital Elevation Model (DEM) for measuring surface area and the volume of Lime stone quarry. Temporal volume change study is essential for the government to restrain the misuse of the natural resources by the private sector. In 2006, the surface area and volume of lime stone excavated by 8 mining quarries was 1,991,759.68 m<sup>2</sup> and 112,398,931.9 m<sup>3</sup> respectively. Meanwhile, the surface area utilized and volume of limestone production by the quarry was increased to 2,881,384.64 m<sup>2</sup> and 156,806,929.9 m<sup>3</sup> respectively during the year<sup> </sup>2014. In these 8 years period, quarry surface area utilization increased by 30% and limestone production increased by 28% was observed. This study is useful for the government to monitor the natural resources restrain to over use by the private sector.展开更多
文摘This article presents a 2017 LiDAR-DEM guided 1-m resolution examination of field-surveyed elevation and soil property variations (5 × 5 m spacings) conducted in 1977 across a hummocky New Brunswick field used for potato production. This examination revealed that the field incurred minor elevation differences likely due to upslope erosion as revealed through increasing Sand % and CF % with increasing elevation, and increasing Silt % along low-lying areas. Soil moisture, field capacity, permanent wilting and nitrate nitrogen (NO<sub>3</sub>-N) also increased at downslope locations. Directly as well as indirectly, soil pH, ammonium nitrogen (NH<sub>4</sub>-N), Caesium<sup>137</sup> (Cs<sup>137</sup>) and Mehlich-3 extracted Ca, Mg, K, Fe, Mn, Cu, and Zn were likewise affected by topographic location. Factor analyzing these variables led to: 1) a Soil Loss Factor that captured 24% of the textural variations;2) a Soil-Cropping Factor accounting for 16% of the N, P, K, Ca, Mg, Mn variations;3) a Soil Organic Matter (SOM) Factor relating 9% of the in-field variations for SOM, Fe, Zn, Cu to via organo-metal complexation and low NO<sub>3</sub>-N retention. Many of the topographic variations increased or decreased with the metric DEM-projected depth-to-water index (DTW) index. This index was set to 0 along DEM-derived flow channels with minimum upslope flow-accumulation areas of 0.1, 0.25, 0.5, 1 or 4 ha. Among these, the DTW > 4 ha threshold was useful for reproducing the textural variations, while the DTW > 0.25 ha threshold assisted in capturing trends pertaining to moisture retention and elemental concentrations.
文摘覆盖近乎全球的30 m ASTER DEM已经对公众开放,为研究全球尺度问题提供了较好的数据基础,但其数据精度和质量在我国区域内存在较多不确定性。研究了利用全国1∶50000高程数据对ASTER DEM数据异常进行修补的技术路线,从而为实现利用多源DEM数据更新现有数据提供质量与可靠性保证,也为我国构建全球基础DEM数据库提供了一种有效的参考。
基金National Science Fund for Distinguished Young Scholars(No.41925016)National Natural Science Foundation of China(No.41804008)National Key Research and Development Program of China(No.2018YFC1503603)。
文摘LuTan-1(LT-1)is a constellation with two full-polarization L-band radar satellites designed by China,and the first satellite was scheduled to be launched in December 2021 and the second one in January 2022.The LT-1 will be operated for deformation monitoring in repeat-pass mode,and for DEM generation in bistatic mode,improving self-sufficiency of SAR data for the field of geology,earthquake,disaster reduction,geomatics,forestry and so on.In this paper,we focused on designing an algorithm for interferometric DEM generation using LT-1 bistatic satellites.The basic principle,main error sources and errors control of the DEM generation algorithm of LT-1 were systematically analyzed.The experiment results demonstrated that:①The implemented algorithm had rigorous resolution with a theoretic accuracy better than 0.03 m for DEM generation.②The errors in satellite velocity and Doppler centroid had no obvious effect on DEM accuracy and they could be neglected.While the errors in position,baseline,slant range and interferometric phase had a significant effect on DEM accuracy.And the DEM error caused by baseline error was dominated,followed by the slant range error,interferometric phase error and satellite position error.③To obtain an expected DEM accuracy of 2 m,the baseline error must be strictly controlled and its accuracy shall be 1.0 mm or better for Cross-Track and Normal-Direction component,respectively.And the slant range error and interferometric phase error shall be reasonably controlled.The research results were of great significance for accurately grasping the accuracy of LT-1 data products and their errors control,and could provide a scientific auxiliary basis for LT-1 in promoting global SAR technology progress and the generation of high-precision basic geographic data.
文摘The objective of the study was to estimate the change detection in a surface area and volume ana- lysis of the lime stone quarry for the year 2006 and 2014 in Mannur, Tirunelveli district, Tamilnadu. Though the mining activities are essential for the cement factory, it depletes the ground water table and causes pollution to the Environment. The Integration of Remote Sensing and GIS are effective for analyzing the impact of quarrying on natural resources. In this study, Cartosat-1 satellite data generated Digital Elevation Model (DEM) for measuring surface area and the volume of Lime stone quarry. Temporal volume change study is essential for the government to restrain the misuse of the natural resources by the private sector. In 2006, the surface area and volume of lime stone excavated by 8 mining quarries was 1,991,759.68 m<sup>2</sup> and 112,398,931.9 m<sup>3</sup> respectively. Meanwhile, the surface area utilized and volume of limestone production by the quarry was increased to 2,881,384.64 m<sup>2</sup> and 156,806,929.9 m<sup>3</sup> respectively during the year<sup> </sup>2014. In these 8 years period, quarry surface area utilization increased by 30% and limestone production increased by 28% was observed. This study is useful for the government to monitor the natural resources restrain to over use by the private sector.
