scholarly journals A Collaborative Sensing System for Farmland Water Conservancy Project Maintenance through Integrating Satellite, Aerial, and Ground Observations

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2163
Author(s):  
Zhenhua Chao ◽  
Xuan Fang ◽  
Jiaming Na ◽  
Mingliang Che
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Scientific Management ◽  
System Framework ◽  
Efficient Manner ◽  
Sensing System ◽  
Sensing Platform ◽  
Water Conservancy Project ◽  
Water Conservancy ◽  
Collaborative Sensing

More and more attention has been paid to farmland water conservancy project (FWCP) maintenance in China, which can reallocate water resources in a more rational and efficient manner. Compared with the traditional survey such as field survey, FWCP maintenance can be improved efficiently with geospatial technology. To improve the level of FWCP maintenance in China, a collaborative sensing system framework by integrating satellite, aerial, and ground remote sensing is put forward. The structure of the system framework includes three sections, namely the data acquisition, the operational work, and the application and service. Through the construction and operation of such collaborative sensing system, it will break through the limitation of any single remote sensing platform and provide all-around and real-time information on FWCP. The collaborative monitoring schemes for the designed FWCP maintenance can engage ditch riders to maintain more effectively, which will enable them to communicate more specifically with smallholders in the process of irrigation. Only when ditch riders and farmers are fully involved, irrigation efficiency will be improved. Furthermore, the collaborative sensing system needs feasible standards for multi-source remote sensing data processing and intelligent information extraction such as data fusion, data assimilation, and data mining. In a way, this will promote the application of remote sensing in the field of agricultural irrigation and water saving. On the whole, it will be helpful to improve the traditional maintenance problems and is also the guarantee for establishing a long-term scientific management mechanism of FWCP maintenance in developing countries, especially in China.

scholarly journals ANALYSIS OF THE IMPACT OF OIL PRODUCT SPILLS ON NATURAL OBJECTS BASED ON SENTINEL-2 REMOTE SENSING DATA IN EASTERN SIBERIA

2021 ◽  
Vol 6 ◽  
pp. 24-31
Author(s):  
Dmitry A. Baikin
Keyword(s):  
Remote Sensing ◽  
Oil Spills ◽  
Remote Sensing Data ◽  
Oil Products ◽  
Eastern Siberia ◽  
Sensing Data ◽  
Sensing System ◽  
Natural Objects ◽  
The Impact ◽  
Sentinel 2

The article analyzes the impact of oil spills on natural objects according to the remote sensing system Sentinel-2 in Eastern Siberia. Remote sensing data analysis is used to detect traces of oil products in the accident area. Conclusions about the usage of Sentinel-2 data for detecting traces of oil products were made.

A New Vehicle Platform for Crop close Proximity Measurements

2012 ◽  
Vol 479-481 ◽  
pp. 2376-2379
Author(s):  
Bin Zhao ◽  
Feng Gao ◽  
Lei Tian
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Frame Structure ◽  
Potential Candidate ◽  
Data Sampling ◽  
Sensing System ◽  
Close Proximity ◽  
Steel Frame Structure ◽  
Vehicle Platform ◽  
Labor Consumption

A new wheeled vehicle had been developed for crop close proximity monitoring of Miscanthus, which could be one of the most potential candidate of bioenergy crop, and have been paid attention nowadays. The new vehicle employed 4WD-4WS system. And 3x3x3 meters steel frame structure was especially designed for tall crops as Miscanthus. The new data acquisition vehicle makes data sampling much convenient and efficient without huge labor consumption. The data acquired by remote sensing system on the platform could increases the spatial, spectral and temporal resolution of the crop remote sensing data significantly, comparing to satellite and aerial remote sensing system.

scholarly journals Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau

2019 ◽  
Vol 11 (2) ◽  
pp. 417 ◽  
Author(s):  
Qingqing Ma ◽  
Linrong Chai ◽  
Fujiang Hou ◽  
Shenghua Chang ◽  
Yushou Ma ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Vegetation Index ◽  
Field Experiments ◽  
Grazing Intensity ◽  
Remote Sensing Data ◽  
Gansu Province ◽  
Livestock Grazing ◽  
Scientific Management ◽  
Sensing Data

Remote sensing data have been widely used in the study of large-scale vegetation activities, which have important significance in estimating grassland yields, determining grassland carrying capacity, and strengthening the scientific management of grasslands. Remote sensing data are also used for estimating grazing intensity. Unfortunately, the spatial distribution of grazing-induced degradation remains undocumented by field observation, and most previous studies on grazing intensity have been qualitative. In our study, we tried to quantify grazing intensity using remote sensing techniques. To achieve this goal, we conducted field experiments at Gansu Province, China, which included a meadow steppe and a semi-arid region. The correlation between a vegetation index and grazing intensity was simulated, and the results demonstrated that there was a significant negative correlation between NDVI and relative grazing intensity (p < 0.05). The relative grazing intensity increased with a decrease in NDVI, and when the relative grazing intensity reached a certain level, the response of NDVI to relative grazing intensity was no longer sensitive. This study shows that the NDVI model can illustrate the feasibility of using a vegetation index to monitor the grazing intensity of livestock in free-grazing mode. Notably, it is feasible to use the remote sensing vegetation index to obtain the thresholds of livestock grazing intensity.

scholarly journals Emergency Response Using Volunteered Passenger Aircraft Remote Sensing Data: A Case Study on Flood Damage Mapping

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4163 ◽  
Author(s):  
Chisheng Wang ◽  
Junzhuo Ke ◽  
Wenqun Xiu ◽  
Kai Ye ◽  
Qingquan Li
Keyword(s):  
Remote Sensing ◽  
Emergency Response ◽  
Low Cost ◽  
Remote Sensing Data ◽  
Flood Damage ◽  
Sensing Data ◽  
Sensing Platform ◽  
Damage Mapping ◽  
Passenger Aircraft

Current satellite remote sensing data still have some inevitable defects, such as a low observing frequency, high cost and dense cloud cover, which limit the rapid response to ground changes and many potential applications. However, passenger aircraft may be an alternative remote sensing platform in emergency response due to the high revisit rate, dense coverage and low cost. This paper introduces a volunteered passenger aircraft remote sensing method (VPARS) for emergency response. It uses the images captured by the passenger volunteers during flight. Based on computer vision algorithms and geocoding procedures, these images can be processed into a mosaic orthoimage for rapid ground disaster mapping. Notable, due to the relatively low flight latitude, small clouds can be easily removed by stacking multi-angle tilt images in the VPARS method. A case study on the 2019 Guangdong flood monitoring validates these advantages. The frequent aircraft revisit time, intensive flight coverage, multi-angle images and low cost of the VPARS make it a potential way to complement traditional remote sensing methods in emergency response.

Data Acquisition Considering of Fixed-Wing UAVs in Mountainous Areas

2014 ◽  
Vol 543-547 ◽  
pp. 2151-2154
Author(s):  
Ling Li Zhao ◽  
Shuai Liu ◽  
Li Ma
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Data Acquisition ◽  
Remote Sensing Data ◽  
Landing Site ◽  
Unmanned Aircraft ◽  
Military Operations ◽  
The Past ◽  
Sensing System ◽  
Sensing Technology

Over the past decade, there has been a great demand of Unmanned Aerial Vehicles (UAVs) in numerous industrial and military operations around the world. This paper is focused on low fixed-wing UAV remote sensing system, put remote sensing technology and UAV technology closely to fixed-wing unmanned aircraft as a platform, which is equipped with high-resolution digital remote sensing sensors, it has easy transition since the airport does not depend on landing site, it is a new low-speed high-resolution remote sensing data acquisition system. It has capability of a survey of real-time quick monitoring, and has been an effective complement to conventional means for satellite remote sensing and aerial photography.

scholarly journals Cataloging system for Russian satellites remote sensing data: main characteristics and operating experience

2020 ◽  
Vol 223 ◽  
pp. 03023
Author(s):  
Alexey Kadochnikov ◽  
Alexey Tokarev
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Distribution System ◽  
Research Work ◽  
Operating Experience ◽  
Remote Sensing Data ◽  
Practical Experience ◽  
Automated System ◽  
Sensing Data ◽  
Sensing System

A local archive and a system for cataloging satellite data from Russian spacecraft that are received by the FRC KSC SB RAS through the services of the Roscosmos Geoportal have been developed. An automated system for remote sensing data preprocessing has been created, which significantly simplifies access to information, implements search services and web visualization of images registered in the catalog. Practical experience in operating the system has revealed a number of shortcomings of the existing Roscosmos data distribution system. Presented data on the execution of the Roscosmos satellite survey order in 2019 they show that the capabilities of the Russian remote sensing system are very limited, and a significant part of the planned research work has not been implemented due to the lack of ordered satellite data.

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

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