Article
Geography, Physical
Foroogh Golkar, Seyed Mohsen Mousavi
Summary: This study investigates anthropogenic CO2 emissions in the Middle East using satellite observations. By analyzing the anomaly of CO2 concentration, the major sources of CO2 emissions and growing seasons can be identified. The study explores the relationship between CO2 emissions and human and natural driving factors using open-source data and primary productivity data. The Delta XCO2 maps are capable of detecting CO2 emission fluctuations in defined periods, providing valuable information for controlling CO2 emissions in critical regions.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Environmental Sciences
Sungchan Jeong, Youngryel Ryu, Benjamin Dechant, Xing Li, Juwon Kong, Wonseok Choi, Minseok Kang, Jongmin Yeom, Joongbin Lim, Keunchang Jang, Junghwa Chun
Summary: The diurnal sampling capability of geostationary satellites allows for monitoring canopy photosynthesis at different temporal scales. This study examines the potential of geostationary satellites in tracking gross primary production (GPP) variations from hourly to seasonal scales. The results show that geostationary satellites can provide valuable data and contribute to large-scale monitoring of GPP dynamics.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
N. Lele, M. K. Kripa, M. Panda, S. K. Das, A. Hari Nivas, N. Divakaran, S. Naik-Gaonkar, A. Sawant, A. K. Pattnaik, R. N. Samal, T. Thangaradjou, A. Saravanakumar, B. F. Rodrigues, T. V. R. Murthy
Summary: This study focused on quantifying carbon assimilation through photosynthesis in mangrove ecosystems along the east and west coasts of India. It found that Rhizophora mucronata and Sonneratia apetala showed higher values of light use efficiency at two of the test-sites. Estimation of Gross Primary Productivity (GPP) using satellite data showed variations in GPP values across different sites, providing a better spatial resolution for threatened habitats like mangroves.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Agronomy
Shouzheng Jiang, Lu Zhao, Chuan Liang, Ningbo Cui, Daozhi Gong, Yaosheng Wang, Yu Feng, Xiaotao Hu, Qingyao Zou
Summary: Satellite-based Gross Primary Productivity (GPP) models are widely used for carbon exchange simulation of terrestrial ecosystems, but their performance in agro-ecosystems is not well-explored. This study compared the performances of seven LUE-GPP models and five VI-GPP models for simulating daily GPP of agro-ecosystems, finding that the CI-LUE model outperformed the others.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Jingchen Pu, Xiaolei Zou
Summary: Convective activities play a crucial role in tropical weather systems. This study investigates the characteristic scales of convection in the tropics using a method that combines principal component analysis with Fourier decomposition. The results reveal that large-scale convective activities typically exhibit significant nocturnal enhancement, while meso-scale convective activities feature short periods and rapid changes.
Article
Environmental Sciences
Xiaojie Gao, Ian R. R. McGregor, Josh M. M. Gray, Mark A. A. Friedl, Minkyu Moon
Summary: Vegetation green leaf phenology has a direct impact on the gross primary productivity (GPP) of terrestrial ecosystems. Satellite observations of land surface phenology (LSP) provide a valuable tool for monitoring the timing of vegetation green leaf development. However, discrepancies between satellite-derived LSP proxies and in situ measurements of GPP make it challenging to quantify the effects of climate-induced changes in green leaf phenology on annual GPP.
GLOBAL BIOGEOCHEMICAL CYCLES
(2023)
Article
Environmental Sciences
Benjamin Dechant, Youngryel Ryu, Grayson Badgley, Philipp Kohler, Uwe Rascher, Mirco Migliavacca, Yongguang Zhang, Giulia Tagliabue, Kaiyu Guan, Micol Rossini, Yves Goulas, Yelu Zeng, Christian Frankenberg, Joseph A. Berry
Summary: Our study highlights the strong relationship between canopy structure and far-red SIF, indicating that the contribution of leaf physiology to SIF variability is small compared to structure and radiation components. The near-infrared reflectance of vegetation multiplied by incoming sunlight (NIRvP) emerges as a robust proxy for far-red SIF across different scales, showing potential for reliable vegetation monitoring at the global level.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Zoe Pierrat, Troy Magney, Nicholas C. Parazoo, Katja Grossmann, David R. Bowling, Ulli Seibt, Bruce Johnson, Warren Helgason, Alan Barr, Jacob Bortnik, Alexander Norton, Andrew Maguire, Christian Frankenberg, Jochen Stutz
Summary: Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a powerful proxy for gross primary productivity (GPP) in boreal ecosystems. Despite inherent non-linearities, there is still a correlation between SIF and GPP at different temporal scales, driven by light, light use efficiency, and the effects of illumination and canopy structure.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Environmental Sciences
Ran Wang, John A. Gamon, Jeannine Cavender-Bares
Summary: The relationship between biodiversity and spectral diversity is influenced by scale and temporal variation in leaf traits and canopy structure. Using measurements of leaf pigments and reflectance throughout a growing season, this study investigates the effects of phenology on the scale dependence of the spectral biodiversity - biodiversity relationship.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Megan M. Coffer, Blake A. Schaeffer, Wilson B. Salls, Erin Urquhart, Keith A. Loftin, Richard P. Stumpf, P. Jeremy Werdell, John A. Darling
Summary: Satellite imagery was utilized to assess the annual frequency of surface cyanobacterial blooms in large lakes across the continental United States, revealing variations in bloom frequencies among different states and lakes. The results can help identify areas within lakes more prone to cyanobacterial blooms, as well as prioritize sampling resources and mitigation efforts.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Catherine Prigent, Carlos Jimenez, Lan Anh Dinh, Frederic Frappart, Pierre Gentine, Jean-Pierre Wigneron, Joseph Munchak
Summary: This study documents the variability of tropical forest structure and function using satellite observations from GPM, analyzing the seasonal and diurnal cycles of microwave data for the first time. The analysis reveals diurnal patterns in backscatter and emissivity, with differing behaviors during the dry season in the southeastern Amazonian forest.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Biodiversity Conservation
Blake A. Schaeffer, Erin Urquhart, Megan Coffer, Wilson Salls, Richard P. Stumpf, Keith A. Loftin, P. Jeremy Werdell
Summary: Previous studies have shown an increase in the frequency, extent, and magnitude of cyanobacterial harmful algal blooms (cyanoHABs) globally. This study used satellite data to quantify the spatial extent of cyanoHABs in over 2,000 lakes and reservoirs in the United States. The results provide important information on the current extent of cyanoHABs and rates of change.
ECOLOGICAL INDICATORS
(2022)
Article
Geochemistry & Geophysics
Malik Chami, Zacharie Aoulad, Sebastien Migeon, Audrey Minghelli
Summary: The study examines the relevance of nighttime radiances measured by the VIIRS satellite sensor for the detection and monitoring of river plumes in turbid waters. The analysis shows that the variations of the radiance are closely related to the seasonality of water turbidity. The study also demonstrates the high sensitivity of the VIIRS sensor for detecting ocean changes at night and highlights the impact of city lights on the nighttime radiance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Meteorology & Atmospheric Sciences
Yunji Zhang, Eugene E. Clothiaux, David J. Stensrud
Summary: This study examines the correlations between infrared brightness temperatures from the water vapor channels of the Advanced Baseline Imager onboard the GOES-16 satellite and the atmospheric state. The heights of strongest correlations between these channels and moisture in different atmospheric layers are closely related to the peaks of their weighting functions. Correlations decrease from peak value with both vertical and horizontal distance, with different patterns in cloudy and clear-sky regions. Horizontal correlations with atmospheric variables degrade to almost 0 at about 30 km in fully cloudy regions, while maintaining non-zero values out to about 100 km in clear-sky regions.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Environmental Sciences
Qi Shao, Yanling Zhao, Wei Li, Guijun Han, Guangchao Hou, Chaoliang Li, Siyuan Liu, Yantian Gong, Hanyu Liu, Ping Qu
Summary: A novel statistical prediction model for sea surface multivariate based on extended empirical orthogonal functions is developed in this paper. The model effectively captures the spatial distribution and temporal evolution of sea surface variables, improving the accuracy of intra-seasonal ocean forecasts. Experimental results show that the model has significant forecasting capability and outperforms traditional forecasts and climatic normal results. Furthermore, a fusion model combining different forecasts consistently outperforms other models over the entire forecast window.
