Real-time airborne agricultural monitoring

Pearson, Robert L.; Grace, Johnny M.; May, George

doi:10.1016/0034-4257(94)90025-6

Cited by 25 publications

(6 citation statements)

References 5 publications

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“…In early researches, remote sensing can be used for precision agriculture in different ways by monitoring seasonally variable crop condition (Moran et al, 1997a;Pearson et al, 1994), or by creating biomass estimates during the growing season using the traditional approach based on vegetation indices (Tucker et al, 1980), or by providing information on soil and plant condition and variability to the overall crop management and decision support system. Moran et al, 1997a pointed out that remote sensing data could be used to produce the meterological-parameter maps which can be integrated with the biomass maps, or Leaf Area Index (LAI) estimates, in order to predict the yield of the year.…”

Section: Overview and Current Situationmentioning

confidence: 99%

Data Fusion Technology of Multi-Platform Earth Observation on Agriculture

Xie

Xue

Zhai

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Earth observation is the gathering of information via remote sensing technologies supplemented by earth surveying techniques, encompassing the collection, analysis and presentation of data. Remote sensing technology is playing a key role on precision agriculture. From the point of view of remote sensing and photogrammetry field, this article first took an overview of its applications on agriculture throughout past 3 decades, analyzed the advantages and disadvantages of different kinds of remote sensing when applied on agriculture respectively, and then discussed the solution on different platform based remote sensing image and data fusion. Finally, the paper summarizes potential trends tending to broaden the precision agriculture application of remote sensing data fusion.

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Section: Overview and Current Situationmentioning

confidence: 99%

Data Fusion Technology of Multi-Platform Earth Observation on Agriculture

Xie

Xue

Zhai

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Meteorological applications require the data in near real time (Hamill et al 1992, Saunders and Seguin 1992, French and Krajewski 1994, Inoue et al 1994, Pearson et al 1994. Advances in remote sensing from ground-based and spaceborne systems, expanded in situ observation networks and increased low-cost computer capability will allow an unprecedented view of mesoscale weather systems Downloaded by [Flinders University of South Australia] at 00:17 07 October 2014 from the local weather oYce.…”

Section: Real-time Remote Sensing Image Analysis-third Levelmentioning

confidence: 99%

Telegeoprocessing: The integration of remote sensing, Geographic Information System (GIS), Global Positioning System (GPS) and telecommunication

Xue¹,

Cracknell²,

Guo³

2002

International Journal of Remote Sensing

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This paper aims to bring together most of the key issues involved in research in novel systems in telegeoprocessing. Telegeoprocessing can be de ned as a new discipline based on real-time spatial databases updated regularly by means of telecommunications systems in order to support problem solving and decision-making at any time and any place. It involves the integration of remote sensing, Geographic Information Systems (GIS), Global Positioning System (GPS) and telecommunications. Telegeoprocessing can be categorized as WebGIS (an integration of Internet and GIS), Mobile Geoprocessing (Wireless Mappingan integration of mobile computing and GIS) and TeleGIS (an integration of GIS and other telecommunication techniques). This paper presents a comprehensive introduction to the problems encountered in telegeoprocessing engineering and the major technologies and standards related to designing an integrated, fully functional telegeoprocessing system based on the latest multimedia and telecommunication technologies. Overall attention will be given to systems based on remote sensing and GPS and all other technologies for sending data from sensors

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“…Of particular interest would be if plant water deficit stress could be detected remotely (Cibula et al, 1992;Jackson et al, 1986;Pearson et al, 1994;Peñuelas et al, 1993;Pierce et al, 1990;Serrano et al, 2000). For such applications, it is safe to use the term "leaf water content" since it implies any type of measurement describing the water status of plants.…”

Section: Introductionmentioning

confidence: 98%

“…Over the past decades, numerous studies have investigated if remote sensing data, such as dual-wavelength ratios utilizing water absorption features, can be used for the detection of water deficit stress in plants (Allen et al, 1969;Carter, 1994;Downing et al, 1993;Gao, 1996;Gausman, 1974;Holben et al, 1983;Jackson & Ezra, 1985;Jackson et al, 1986;Jacquemoud et al, 1996;Pearson et al, 1994;Roberts et al, 1997; plus references listed in Table 1). Although basic correlations could often be established, practical applicability of such techniques has proven to be a complex task.…”

Section: Introductionmentioning

confidence: 99%