Monitoring of phenology and irrigation response of artificial forests based on vegetation remote sensing

Abstract

Abstract Background Although the study of the environmental factors on forest phenology has attracted the attention, and it proposes the influences of moisture and precipitation in the rainy season on the growth change of Populus tomentosa. Methods Here, the near-earth remote sensing devices are applied to monitor the canopy phenology of the planted forest Populus tomentosa B301 cultivated under the full drip irrigation (DIFI), controlled drip irrigation (DICI) and non-irrigation group (CK), calculate the relative green vegetation index, adopt the TIMESAT3.3 procedure to fit the time series curve of phenological index of Populus tomentosa B301, as well as extract the key period of phenological growth. Results Our results showed that: 1) The data of the relative green vegetation index and the forest growth rate of change are different. The tree species under non-irrigation will reach the growth peak at the day 138, 2 days later than the full drip irrigation and controlled drip irrigation; 2) The tree species in the DICI area wither and fall on the day 269, while that in the CK and DIFI area withers and falls on the day 270. The growth season of CK, DIFI and DICI areas ends on the day 307, 315 and 295, respectively. 3) Different irrigation conditions have different responses to forests, and the use of irrigation conditions changes the growth and development process of forests, resulting in significant phenological effects. Conclusions These findings Irrigation has a significant effect on reducing greenhouse gas emissions in forests and can improve water resource utilization efficiency, the stable ecological environment could promote the forest growth.