Development of an in situ observation network for terrestrial ecological remote sensing: the Phenological Eyes Network (PEN)

KN Nasahara, S Nagai - Ecological Research, 2015 - Springer
Abstract The Phenological Eyes Network (PEN), which was established in 2003, is a
network of long-term ground observation sites. The aim of the PEN is to validate terrestrial …

Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations

EF Berra, R Gaulton, S Barr - Remote sensing of environment, 2019 - Elsevier
The monitoring of forest phenology in a cost-effective manner, at a fine spatial scale and
over relatively large areas remains a significant challenge. To address this issue, unmanned …

advances in in situ and satellite phenological observations in Japan

S Nagai, KN Nasahara, T Inoue, TM Saitoh… - International journal of …, 2016 - Springer
To accurately evaluate the responses of spatial and temporal variation of ecosystem
functioning (evapotranspiration and photosynthesis) and services (regulating and cultural …

Monitoring multi-layer canopy spring phenology of temperate deciduous and evergreen forests using low-cost spectral sensors

Y Ryu, G Lee, S Jeon, Y Song, H Kimm - Remote Sensing of Environment, 2014 - Elsevier
Emerging near-surface remote sensing techniques have advanced our ability to monitor
forest canopy phenology. Thus far, however, little effort has been made to monitor the …

Comparison of phenology estimated from reflectance-based indices and solar-induced chlorophyll fluorescence (SIF) observations in a temperate forest using GPP …

X Lu, Z Liu, Y Zhou, Y Liu, S An, J Tang - Remote Sensing, 2018 - mdpi.com
We assessed the performance of reflectance-based vegetation indices and solar-induced
chlorophyll fluorescence (SIF) datasets with various spatial and temporal resolutions in …

Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network

D Yan, X Zhang, S Nagai, Y Yu, T Akitsu… - International Journal of …, 2019 - Elsevier
Abstract The Advanced Himawari Imager (AHI) onboard the recently launched next
generation geostationary satellite, Himawari-8, provides an opportunity to improve Land …

8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network

S Nagai, T Akitsu, TM Saitoh, RC Busey… - Ecological …, 2018 - Wiley Online Library
We report long‐term continuous phenological and sky images taken by time‐lapse cameras
through the Phenological Eyes Network (http://www. pheno‐eye. org. Accessed 29 May …

The impact of non-photosynthetic vegetation on LAI estimation by NDVI in mixed grassland

D Xu, D An, X Guo - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is widely used for algorithms and modelling in the field of ecology and
land surface processes. At a global scale, normalized difference vegetation index (NDVI) …

Assessing Canopy Phenological Variations and Gross Primary Productivity in A Savanna Ecosystem in Yuanjiang, Yunnan Province of Southwest China.

STZ Myo, YP Zhang, QH Song… - Journal of …, 2023 - search.ebscohost.com
Vegetation phenology is an important indicator of environmental change and strongly
connected to forest ecosystem productivity change. This study aimed to analyse the pattern …

Deep-Learning-Based Rice Phenological Stage Recognition

J Qin, T Hu, J Yuan, Q Liu, W Wang, J Liu, L Guo… - Remote Sensing, 2023 - mdpi.com
Crop phenology is an important attribute of crops, not only reflecting the growth and
development of crops, but also affecting crop yield. By observing the phenological stages …