Skip to main content

Establishment of Rice Yield Prediction Model Using Canopy Reflectance | Chapter 01 | Recent Advances in Biological Research Vol. 6

The major objectives of this study were to identify spectral characteristics associated with rice yield and to establish their quantitative relationships. Field experiments were conducted at Shi-Ko experimental farm of TARI’s Chiayi Station, during 2001 to 2005. Rice cultivar Tainung 67 (Oryza sativa L.), the major cultivar grown in Taiwan, was used in the study. Various levels of rice yield were obtained via nitrogen application treatments. Canopy reflectance spectra were measured during entire growth period and dynamic changes of characteristic spectrum were analyzed. Relationships among rice yields and characteristic spectrum were studied to establish yield estimation models suitable for remote sensing purposes. Spectrum analysis indicated that the changes of canopy reflectance spectrum were least during booting stages. Therefore, the canopy reflectance spectra during this period were selected for model development. Two multiple regression models, constituting of band ratios (NIR/RED and NIR/GRN) were then constructed to estimate rice yields for first and second crops separately. Results of the validation experiments indicated that the derived regression equations successfully predicted rice yield using canopy reflectance measured at booting stage unless other severe stresses occurred afterward.

We also integrated multiple regression models, derived from reflectance spectrum measurements and using band ratios (NIR/RED and NIR/GRN) as independent variables, with SPOT 5 multispectral images taken at booting stage to predict rice yield before harvest. A 4.8-ha paddy rice field was used as testing ground for the accuracy of prediction with the rice yield prediction model. Within the site, different rice yield scenarios were produced by using combinations of rice varieties, Japonica and Indica type, nitrogen rate and drought treatments. Rice yields harvested in 10m X 10m mesh were used as ground truth data for comparison. The regional rice yield map is produced with the rice yield prediction model using SPOT 5 images taken at booting stage in this study. The results from the regional rice yield map shows that the relative errors between actual yield and predicted yield in the first season and second season in 2014 are lower than 5%. Those have demonstrated its potential for using SPOT 5 images to estimate the regional rice yield with the rice yield prediction model derived from reflectance spectrum measurements and using band ratios (NIR/RED and NIR/GRN) as independent variables.


Author(s) Details

K. W. Chang
College of Tourism Management, Baise University, Guangxi, 533000, China.

K. X. Li
College of Tourism Management, Baise University, Guangxi, 533000, China.

L. H. Xie
College of Tourism Management, Baise University, Guangxi, 533000, China.

View Book: http://bp.bookpi.org/index.php/bpi/catalog/book/119

Comments

Popular posts from this blog

Alkali Element Modification of Glucose Molecules as a Method to Dissolve Cancer Cells | Chapter 12 | New Visions in Medicine and Medical Science Vol. 4

  The present study highlights about alkali element modification of glucose molecules as a method to dissolve cancer cells. The central regulation of the mechanisms governing cell proliferation has little effect on cancer cells. Cancer cells are entirely independent of the central command and divide and proliferate on their own, making it challenging to activate their response mechanism. Precisely, this is the reason why they are at risk to the health of humans and/or any biological entities. Instead of trying to reconnect the central command of the growth control mechanism to cancer cells that are already out of the range, we present a method of using the cancer cell’s own irresponsive and uncontrolled growth mechanism to their disadvantage and destroy the cancer cells. We found that this is achievable in an atomic/molecular level study of the glucose molecule, which is the primary food source used for growth and energy generation by all cells in the body, including the cancer cells.

Risk Factors for Postpartum Psychiatric Disorders. A Review of the Literature | Chapter 8 | New Visions in Medicine and Medical Science Vol. 4

  Objective: The aim of this study was to explore the risk factors for the development of postpartum psychiatric disorders through international literature. Materials and Methods: Throughout many articles in PubMed, Google scholar and PsycInfo, a great amount of recent data was gathered to identify the disorders that are most common as well as their risk factors. Results: After childbirth, most commonly women experience postpartum depression, anxiety disorders, post-traumatic stress disorder and postpartum psychosis. All the disorders have many similar risk-factors with the main one being preexisting psychiatric disorder and many similar symptoms too. Conclusions: Women after childbirth are at risk of experience many psychiatric disorders, such as postpartum distress, postpartum post traumatic stress disorder and even more rarely postpartum psychosis. It is important to provide comprehensive support to ensure the well-being of both the mother and the infant and this will be en

Greening Regional Airports: A Vision for Carbon Neutral Infrastructure | Chapter 12 | Contemporary Perspective on Science, Technology and Research Vol. 3

 This study provides an overview of the energy demand of a regional airport, divided into individual time horizons. The electrification of aircraft systems raises the question of whether airports will be among the largest electricity consumers in our infrastructure in the future. Sustainability and especially emission reductions are significant challenges for airports that are currently being addressed. The Clean Sky 2 project GENESIS addresses the environmental sustainability of hybrid-electric 50-passenger aircraft systems in a life cycle perspective to support the development of a technology roadmap for the transition to sustainable and competitive electric aircraft systems. This article originates from the GENESIS research and describes various options for ground power supply at a regional airport. Potential solutions for airport infrastructure with a short (2030), medium (2040), and long (2050) time horizon are proposed. In addition to the environmental and conservation benefits,