Algorithm of estimating GPP based on right response curve using satellite sensor data

2016 Fiscal Year Final Research Report

• Project/Area Number: 25340007
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Environmental dynamic analysis
• Research Institution: Nara Women's University
• Principal Investigator: MURAMATSU Kanako 奈良女子大学, 自然科学系, 教授 (20252827)
• Co-Investigator(Renkei-kenkyūsha): FURUMI Shinobu 奈良佐保短期大学, 地域子供学科, 准教授 (90397844) ; SOYAMA Noriko 天理大学, 人間学部, 教授 (50309522) ; KAMAKURA Mai 奈良女子大学, 共生科学研究センター, 研究支援推進員 (40523840)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: 総生産量 / 衛星データ / クロロフィルインデックス / 熱赤外イメージャー / 光ー光合成曲線 / 気孔コンダクタンス / 樹冠コンダクタンス

Outline of Final Research Achievements

The algorithm of estimating gross primary production of vegetation using satellite sensor data was developed. The main characteristics of the algorithm are using the light response curve of photosynthesis in the algorithm, and dividing two parts as photosynthesis capacity, which is in the condition plants photosynthesizes with less stress, and it’s suppression. The parameters of a light-response curve were determined using the estimation formula. The formulas were divided into three groups as grass and open shrubs, woody plants except for a tropical rain forest. The suppression part was studied focusing on stomata opening and closing using thermal imagers for leaf and canopy level. The estimation accuracy of the diurnal variation pattern of the leaf and canopy conductance was better than the absolute value.

Free Research Field

環境科学