Publication Date
1989
Description
Pennisetum alopecuroides Spreng is one of the most aggressive weeds of tame pastures in the Aso district, which often causes the deterioration of the grasslands. It is thus important to develop methods of analysis of the weed dynamics in real time and techniques for effective weed control. Hayashi et al. (1986) observed that cutting carried out in September was the most effective method to prevent the growth of the weed. However, the vegetation survey methods currently used cannot monitor sudden changes of grassland vegetation over wide areas. Remote sensing is one of the promising techniques for monitoring grasslands where the growth is frequently uneven over wide areas. Along with the spatial and spectral improvements in spacecraft sensor systems achieved recently, it has become possible to monitor and manage grasslands with an increased accuracy (Akiyama, 1985).
Citation
Akiyama, T; Yamagata, Y; Saibayama, M; Hayashi, H; and Fujita, H, "Monitoring of Weed Infestation of Grasslands using Landsat Data" (2025). IGC Proceedings (1989-2023). 13.
https://uknowledge.uky.edu/igc/1989/session12/13
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Monitoring of Weed Infestation of Grasslands using Landsat Data
Pennisetum alopecuroides Spreng is one of the most aggressive weeds of tame pastures in the Aso district, which often causes the deterioration of the grasslands. It is thus important to develop methods of analysis of the weed dynamics in real time and techniques for effective weed control. Hayashi et al. (1986) observed that cutting carried out in September was the most effective method to prevent the growth of the weed. However, the vegetation survey methods currently used cannot monitor sudden changes of grassland vegetation over wide areas. Remote sensing is one of the promising techniques for monitoring grasslands where the growth is frequently uneven over wide areas. Along with the spatial and spectral improvements in spacecraft sensor systems achieved recently, it has become possible to monitor and manage grasslands with an increased accuracy (Akiyama, 1985).
