Observations of Cutting Practices in Agricultural Grasslands Using Polarimetric SAR

Voormansik, Kaupo; Jagdhuber, Thomas; Zalite, Karlis; Noorma, Mart; Hajnsek, Irena

doi:10.1109/jstars.2015.2503773

Cited by 45 publications

(28 citation statements)

References 41 publications

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“…Furthermore, R160 acquisitions were most probably also influenced by rain. Conversely, several polarimetric studies have reported higher sensitivity to harvesting events when vegetation was left on the ground after an event [19,20,40].…”

Section: Resultsmentioning

confidence: 97%

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

et al. 2016

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Abstract:In this study, the interferometric coherence calculated from 12-day Sentinel-1 image pairs was analysed in relation to mowing events on agricultural grasslands. Results showed that after a mowing event, median VH (vertical transmit, horizontal receive) and VV (vertical transmit, vertical receive) polarisation coherence values were statistically significantly higher than those from before the event. The shorter the time interval after the mowing event and the first interferometric acquisition, the higher the coherence. The coherence tended to stay higher, even 24 to 36 days after a mowing event. Precipitation caused the coherence to decrease, impeding the detection of a mowing event. Given the three analysed acquisition geometries, it was concluded that afternoon acquisitions and steeper incidence angles were more useful in the context of this study. In the case of morning acquisitions, dew might have caused a decrease of coherence for mowed and unmowed grasslands. Additionally, an increase of coherence after a mowing event was not evident during the rapid growth phase, due to the 12-day separation between the interferometric acquisitions. In future studies, six-day pairs utilising Sentinel-1A and 1B acquisitions should be considered.

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Section: Resultsmentioning

confidence: 97%

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

et al. 2016

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“…In recent years, there has been increasing interest in synthetic aperture radar (SAR) data for aboveground biomass analyses, particularly in areas where frequent cloud conditions present difficulties for obtaining high-quality optical data (Erten, Lopez-Sanchez, Yuzugullu, & Hajnsek, 2016;Voormansik, Jagdhuber, Zalite, Noorma, & Hajnsek, 2016;Zalite, Antropov, Praks, Voormansik, & Noorma, 2016). The capability of radar systems to collect data in all weather and light conditions overcomes this issue.…”

Section: Synthetic Aperture Radar (Sar) and Light Detection And Ranmentioning

confidence: 99%

Remote sensing as a tool to assess botanical composition, structure, quantity and quality of temperate grasslands

Wachendorf

Fricke

Möckel

2017

Grass and Forage Science

112

100

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Grassland systems frequently exhibit small‐scale botanical and structural heterogeneity with pronounced spatio‐temporal dynamics. These features present particular challenges for sensor applications, in addition to limitations posed by the high cost and low spatial resolution of many available remote‐sensing (RS) systems. There has been little commercial application of RS for practical grassland farming. This article considers the developments in sensor performance, data analysis and modelling over recent decades, identifies significant advances in RS for grassland research and practice and reviews the most important sensor types and corresponding findings in research. Beside improvements of single sensor types, the development of systems with complementary sensors is seen as a very promising research area, and one that will help to overcome the limitations of single sensors and provide better information about grassland composition, yield and quality. From an agronomic point of view, thematic maps of farm fields are suggested as the central outcome of RS and data analysis. These maps could represent the relevant grassland features and constitute the basis for various farm management decisions at strategic, tactical and operational levels. The overarching goal will be to generate low cost, appropriate and timely information that can be provided to farmers to support their decision‐making.

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“…Second, SAR attainments are not dependent upon illuminations and weather conditions. Therefore, it has been used for the detection of grass cutting events over the grasslands by measuring polarimetric parameters such as HH/VV Polarimetric coherence and the scattering entropy [12]. 2) Fusion of Drone and satellite images has been used to segregate the dense and sparse areas of the sugarcane field in the region of roorkee under district Haridwar, Utrakhand in India.…”

Section: B Vegetation Monitoring Using Remote Sensingmentioning

confidence: 99%

Vegetation Monitoring System-A Review

Shukla¹

2018

IJRASET

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Vegetation Monitoring is important to understand the natural changes occur in the vegetation in different types of places. It is required to monitor changes in the vegetation because it affects the quality of life of animals, terrain stability and other environment components. Monitoring grasslands, crop height, forage mass, poaceae or grass species growth are the things which comes under the concept of vegetation monitoring. There are many techniques which has been used in the vegetation monitoring such as using manual mathematical modelling, Synthetic Aperture Radar (SAR), Unmanned Aerial Systems (UAS), ultrasonic sensors, image processing etc. In the same concern urban landscape which includes public parks, lawns, playgrounds, and golf courses are required to maintain for the city residents to look city beautiful. This idea coincides with one of the features of smart city concept. With the help of state of art technologies some initiatives can be taken for the betterment of the city. Internet of Things (IoT) is one of the state of art technology which can be used as a simplified technique to monitor the aesthetic management of the city.

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Observations of Cutting Practices in Agricultural Grasslands Using Polarimetric SAR

Cited by 45 publications

References 41 publications

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

Remote sensing as a tool to assess botanical composition, structure, quantity and quality of temperate grasslands

Vegetation Monitoring System-A Review

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