Monitoring of oil palm plantations and growth variations with a dense vegetation model

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Monitoring of oil palm plantations and growth variations with a dense vegetation model. / Teng, Khar Chun; Koay, Jun Yi; Tey, Seng Heng; Ewe, Hong Tat; Chuah, Hean Teik.

Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2014. s. 298-300 6946416.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Teng, KC, Koay, JY, Tey, SH, Ewe, HT & Chuah, HT 2014, Monitoring of oil palm plantations and growth variations with a dense vegetation model. i Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS)., 6946416, IEEE, s. 298-300, 2014 IEEE International Geoscience and Remote Sensing Symposium, Québec City, Canada, 13/07/2014. https://doi.org/10.1109/IGARSS.2014.6946416

APA

Teng, K. C., Koay, J. Y., Tey, S. H., Ewe, H. T., & Chuah, H. T. (2014). Monitoring of oil palm plantations and growth variations with a dense vegetation model. I Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS) (s. 298-300). [6946416] IEEE. https://doi.org/10.1109/IGARSS.2014.6946416

Vancouver

Teng KC, Koay JY, Tey SH, Ewe HT, Chuah HT. Monitoring of oil palm plantations and growth variations with a dense vegetation model. I Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS). IEEE. 2014. s. 298-300. 6946416 https://doi.org/10.1109/IGARSS.2014.6946416

Author

Teng, Khar Chun ; Koay, Jun Yi ; Tey, Seng Heng ; Ewe, Hong Tat ; Chuah, Hean Teik. / Monitoring of oil palm plantations and growth variations with a dense vegetation model. Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2014. s. 298-300

Bibtex

@inproceedings{1f305e83010749d086400d5676784462,
title = "Monitoring of oil palm plantations and growth variations with a dense vegetation model",
abstract = "The development of microwave remote sensing models for the monitoring of vegetation has received wide attention in recent years. For vegetation in the tropics, it is necessary to consider a dense medium model for the theoretical modelling of the microwave interaction with the vegetation medium. In this paper, a multilayer model based on the radiative transfer theory for a dense vegetation medium is developed where the coherence effects and near field interaction effects of closely spaced leaves and branches are considered by incorporating the Dense Medium Phase and Amplitude Correction Theory (DM-PACT) and Fresnel Phase Corrections. The iterative solutions of the radiative transfer model are computed with input based on ground truth measurements of physical parameters of oil palm plantations in the state of Perak, Malaysia, and compared with the SAR images obtained from RADARSAT2. Preliminary results are analyzed for dominant scattering mechanisms as well as monitoring of growth variation of oil palm trees for further development of operation models for long term monitoring of oil palm plantations.",
keywords = "electromagnetic modeling, radar applications, Radar remote sensing, remote monitoring, vegetation",
author = "Teng, {Khar Chun} and Koay, {Jun Yi} and Tey, {Seng Heng} and Ewe, {Hong Tat} and Chuah, {Hean Teik}",
year = "2014",
doi = "10.1109/IGARSS.2014.6946416",
language = "English",
pages = "298--300",
booktitle = "Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
note = "null ; Conference date: 13-07-2014 Through 18-07-2014",

}

RIS

TY - GEN

T1 - Monitoring of oil palm plantations and growth variations with a dense vegetation model

AU - Teng, Khar Chun

AU - Koay, Jun Yi

AU - Tey, Seng Heng

AU - Ewe, Hong Tat

AU - Chuah, Hean Teik

PY - 2014

Y1 - 2014

N2 - The development of microwave remote sensing models for the monitoring of vegetation has received wide attention in recent years. For vegetation in the tropics, it is necessary to consider a dense medium model for the theoretical modelling of the microwave interaction with the vegetation medium. In this paper, a multilayer model based on the radiative transfer theory for a dense vegetation medium is developed where the coherence effects and near field interaction effects of closely spaced leaves and branches are considered by incorporating the Dense Medium Phase and Amplitude Correction Theory (DM-PACT) and Fresnel Phase Corrections. The iterative solutions of the radiative transfer model are computed with input based on ground truth measurements of physical parameters of oil palm plantations in the state of Perak, Malaysia, and compared with the SAR images obtained from RADARSAT2. Preliminary results are analyzed for dominant scattering mechanisms as well as monitoring of growth variation of oil palm trees for further development of operation models for long term monitoring of oil palm plantations.

AB - The development of microwave remote sensing models for the monitoring of vegetation has received wide attention in recent years. For vegetation in the tropics, it is necessary to consider a dense medium model for the theoretical modelling of the microwave interaction with the vegetation medium. In this paper, a multilayer model based on the radiative transfer theory for a dense vegetation medium is developed where the coherence effects and near field interaction effects of closely spaced leaves and branches are considered by incorporating the Dense Medium Phase and Amplitude Correction Theory (DM-PACT) and Fresnel Phase Corrections. The iterative solutions of the radiative transfer model are computed with input based on ground truth measurements of physical parameters of oil palm plantations in the state of Perak, Malaysia, and compared with the SAR images obtained from RADARSAT2. Preliminary results are analyzed for dominant scattering mechanisms as well as monitoring of growth variation of oil palm trees for further development of operation models for long term monitoring of oil palm plantations.

KW - electromagnetic modeling

KW - radar applications

KW - Radar remote sensing

KW - remote monitoring

KW - vegetation

U2 - 10.1109/IGARSS.2014.6946416

DO - 10.1109/IGARSS.2014.6946416

M3 - Article in proceedings

AN - SCOPUS:84911439016

SP - 298

EP - 300

BT - Proceedings of the 2014 International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

Y2 - 13 July 2014 through 18 July 2014

ER -

ID: 169106060