Modeling seasonal surface temperature variations in secondary tropical dry forests

The research modeled land surface temperature (LST) time series from July 2013 to July 2016 using Landsat-8 data and a radiative transfer equation algorithm. The study found that LST in the dry season was 1520 K higher than in the wet season, with early successional stages being significantly warmer than intermediate and late stages during the dry season. While leaf phenology and canopy architecture explain most variations, precipitation was identified as the ultimate determinant of LST variations through biogeochemical and biogeophysical processes.

APA

Inter-American Institute for Global Change Research (2025). Modeling seasonal surface temperature variations in secondary tropical dry forests. https://iai.int/es/pub_acad/modeling-seasonal-surface-temperature-variations-in-secondary-tropical-dry-forests/

Chicago

Inter-American Institute for Global Change Research. Modeling seasonal surface temperature variations in secondary tropical dry forests. 2025. https://iai.int/es/pub_acad/modeling-seasonal-surface-temperature-variations-in-secondary-tropical-dry-forests/.

Wikipedia

{{cite report |author=Inter-American Institute for Global Change Research |title=Modeling seasonal surface temperature variations in secondary tropical dry forests |date=13 January 2025 |url=https://iai.int/es/pub_acad/modeling-seasonal-surface-temperature-variations-in-secondary-tropical-dry-forests/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{interamericaninstituteforglobalchangeresearch2025modeling, author = {{Inter-American Institute for Global Change Research}}, title = {{Modeling seasonal surface temperature variations in secondary tropical dry forests}}, institution = {Inter-American Institute for Global Change Research}, year = {2025}, month = jan, url = {https://iai.int/es/pub_acad/modeling-seasonal-surface-temperature-variations-in-secondary-tropical-dry-forests/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }