AI SearchAnalysis of the spectral signature of soils and prediction of nutrients through remote sensing and GIS based models (Record no. 5167)
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| 000 -LEADER | |
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| fixed length control field | 05215nas|a2200445 i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817162500.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 040806s2003 th uu m rtt 00| a1eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b11935984 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Diss. no.SR-03-02 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Waktola, Daniel Kassahun |
| 245 10 - TITLE STATEMENT | |
| Title | Analysis of the spectral signature of soils and prediction of nutrients through remote sensing and GIS based models |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2003 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 101 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Dissertation ; |
| Volume/sequential designation | no. SR-03-02 |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy, School of Advanced Technologies |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Employing remote sensing tools for monitoring and mapping of soil fertility parameters could offer enhanced possibilities. This is due to the objectivity of data, wider area coverage, continuous monitoring, and faster acquisition capabilities than the conventional methods. However, apart from the challenges induced from plant cover, other obstacles like indiscriminability of soil nutrients from satellite platform and the incompatibility of the sensors' resolutions considerably hinder the direct application of the technology. This research was undertaken with a prime objective of developing predictive models for Soil Organic Matter (SOM), phosphorus (P), potassium (K), and iron (Fe), from quantified spectral-chemical patterns. Data were computed from multi sources of detecting platforms, viz., laboratory-based spectrometer, field-based photometer, and optical satellite-based sensors. Samples were collected from plough layers of Lop Buri tropical soils, Thailand, during a satellite-synchronized ground survey. Both radiometric and chemical analysis were carried out following the standard field and laboratory procedures. The first part of the research addressed the modeling of nutrients from the field and laboratory generated reflectance spectra. The data were synthesized across a 10, 20, 50, and 100 nm bandwidth categories. Accordingly, a single, double, and 100 nm-based bandwidth categories were synthesized from the field spectral data. Stepwise Multiple Regression, Polynomial models, and Artificial Neural Network (ANN) analysis were employed for the identification of nutrient-sensitive bands and subsequent model development. The results revealed higher degree of predictions obtainable from the laboratory than the field conditions. ANN appeared to offer better prediction than the Multiple Regression and Polynomial models. Furthermore, the narrower bandwidth categories have outperformed the broader bandwidth category, where the trend, in this research, is termed as "bandwidth decay effect''. In the second pa1t, the radiometrically, geometrically, and atmospherically corrected IRS-ID satellite data were processed through several indices to yield nutrient-specific prediction models. These models were built through the synthetically cloned channels, called "Spech·al Band Cloning" (SBC). The SBC had interwoven the fine-scaled spectrometer signatures with the course-scaled satellite data. This enabled the development of an original modeling approach. The conclusion that emerges from this model is that, although SBC has performed lower than the spectrometer-based models, it has produced adequate results, which were impossible to realize from the satellite alone. An R2 of 0.72, 0.62, 0.70, and 0.68 were attained for SOM, P, K, and Fe, respectively. Measured and predicted maps of each soil nutrient type, along with the overall weighted fertility surface, were generated from the interpolated nutrient surfaces, performed on a GIS environment. Models were validated on unused (independent) dataset, vis-a-vis the conventionally measured soil nutrients, and had attained an R2 of0.69, 0.49, 0.64, and 0.60 for SOM, P, Kand Fe, respectively. |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph.D.) - Asian Institute of Technology, 2003 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Soils |
| General subdivision | Analysis |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Soil fertility |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tripathi, Nitin Kumar, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Honda, Kiyoshi, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Apisit Eiumnoh, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Alemaya University, |
| Relator term | Scholarship donor |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | World Bank, |
| Relator term | Scholarship donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Dissertation ; |
| Volume/sequential designation | no. SR-03-02 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href=" http://203.159.5.9/ait-thesis/detail.php?q=B07850"> http://203.159.5.9/ait-thesis/detail.php?q=B07850</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b11935984 |
| b | mnait |
| c | u |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 240419 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 030806 |
| First date, FD (RLIN) | m |
| -- | a |
| -- | u |
| -- | 0 |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnait |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnait |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 22-AIT Thesis (Replacement) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 20-AIT Publication |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050120561245 |
| CREATED | CREATED : 2012-08-31 |
| RECORD Id | RECORD # : i12691641 |
| LPATRON | LPATRON : 1025974 |
| LCHKIN | LCHKIN : 2016-01-22 |
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| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050120236459 |
| CREATED | CREATED : 2016-03-23 |
| RECORD Id | RECORD # : i12905070 |
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| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050121017510 |
| CREATED | CREATED : 2020-06-07 |
| RECORD Id | RECORD # : i13280144 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | AIT Diss. no.SR-03-02 | 30050120561245 | 17/08/2026 | 3 | 17/08/2026 | 22-AIT Thesis (Replacement) | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Diss. no.SR-03-02 | 30050120236459 | 17/08/2026 | 1 | 17/08/2026 | 40-Archives | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | AIT Diss. no.SR-03-02 | 30050121017510 | 17/08/2026 | 1 | 17/08/2026 | 20-AIT Publication |