Article
Environmental Sciences
Dan J. Dixon, John M. A. Duncan, J. Nikolaus Callow, Samantha A. Setterfield, Natasha Pauli
Summary: Plant phenology, particularly flowering, is influenced by fire disturbance, and understanding these effects can provide insights into the impacts of increasing fire intensity and frequency due to climate change. However, it is challenging to isolate the direct effects of fire on phenology due to logistical difficulties in monitoring species-specific events under different fire and environmental conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Ecology
Hannah J. White, Willson Gaul, Lupe Leon-Sanchez, Dinara Sadykova, Mark C. Emmerson, Paul Caplat, Jon M. Yearsley
Summary: The stability of plant productivity at the landscape scale is primarily associated with climatic history, particularly a history of extreme events, outweighing any positive effects of species richness in the agricultural landscape. Past climate is a stronger driver of stability in plant productivity at the landscape scale compared to species richness at finer field scales.
FUNCTIONAL ECOLOGY
(2022)
Article
Agriculture, Dairy & Animal Science
Cheryl A. Lohr, Kristen Nilsson, Ashleigh Johnson, Neil Hamilton, Mike Onus, Dave Algar
Summary: Feral cats pose challenges for management and monitoring. The efficacy and cost of using Eradicat(R) baiting and monitoring feral cat activity through camera traps or track counts were evaluated with data from the Matuwa Indigenous Protected Area over four years. Track counts outperformed camera traps in detecting feral cats and were more cost-effective, recommending the implementation of multiple monitoring methods to avoid erroneous conclusions.
Article
Multidisciplinary Sciences
Yoshito Takasaki, Oliver T. Coomes, Christian Abizaid, Margaret Kalacska
Summary: This study conducted a landscape-scale assessment of local ecological knowledge (LEK) and remote sensing in the Peruvian Amazon, finding that LEK and remote sensing corroborate each other well, especially in terms of current status of game species reported by sampled households and historical LEK from Indigenous community leaders/elders.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Environmental Sciences
K. C. Kushal, Sami Khanal
Summary: This study quantified the long-term impacts of cover crops on cash crop yields and water quality in the Maumee River watershed using historic satellite data. The results showed minimal to negative yield impacts of cover crops on cash crops, with yield reductions decreasing over time. The study also found a strong negative correlation between cover crop area and spring NO3-N concentration and loads.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Review
Geosciences, Multidisciplinary
Niranga Alahacoon, Mahesh Edirisinghe
Summary: This study provides a comprehensive review of drought indices used in different fields. It identifies 111 drought indices, divided into traditional and remote sensing categories. The results show that meteorological drought monitoring uses the highest number of traditional indices, while agricultural drought monitoring uses the fewest. Additionally, the study highlights the increasing use of remote sensing indices with advancements in satellite technology.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Environmental Sciences
Yong Piao, Yi Xiao, Fengdi Ma, Sangjin Park, Dongkun Lee, Yongwon Mo, Seunggyu Jeong, Injae Hwang, Yujin Kim
Summary: Understanding changes in landscape patterns can be achieved through an understanding of land use/land cover (LULC) changes. Previous studies have monitored LULC changes in North Korea but not at a local scale. This study used multiple LULC products, a random-forest algorithm, and Landsat satellite data to classify LULC with a high accuracy. Based on the classification results, landscape indices were used to quantify and monitor landscape pattern changes. The results showed an increasing trend in built-up and forest areas, a decreasing trend in cropland, and an increase in landscape fragmentation in Pyongyang.
Article
Environmental Sciences
Melissande Machefer, Marti Perpinya-Valles, Maria Jose Escorihuela, David Gustafsson, Laia Romero
Summary: Surface water availability is crucial for effective climate adaptation and mitigation plans. This study introduces new methodologies for comprehensive monitoring of water bodies and accurate water level measurement. The results show significant improvements compared to existing platforms. Furthermore, various applications and educational challenges are discussed.
Article
Environmental Sciences
Mingxian Zhao, Yingying Dong, Wenjiang Huang, Chao Ruan, Jing Guo
Summary: Research shows that using geographical detectors for feature selection can improve the accuracy and stability of wheat stripe rust monitoring. The selected feature set provides support for regional stripe rust detection and accurate prevention.
Article
Geography, Physical
Shengbiao Wu, Jing Wang, Zhengbing Yan, Guangqin Song, Yang Chen, Qin Ma, Meifeng Deng, Yuntao Wu, Yingyi Zhao, Zhengfei Guo, Zuoqiang Yuan, Guanhua Dai, Xiangtao Xu, Xi Yang, Yanjun Su, Lingli Liu, Jin Wu
Summary: By integrating PlanetScope and drone observations, we have successfully improved the monitoring of crown-scale autumn leaf phenology in temperate forests, demonstrating large variability across the entire forest landscape.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Biotechnology & Applied Microbiology
Haiyan Gu, Yinan Wei
Summary: In some developed countries in Europe, cities are rapidly developing, but the development in my country is uneven. With the acceleration of urbanization, the balance between city development and the environmental ecosystem is challenged. Research focuses on monitoring urban environmental ecosystems using remote sensing technology, as well as optimizing studies using BP network models and ant colony algorithms.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Editorial Material
Microbiology
Kaitlin M. Gold
Summary: Plant disease sensing is an emerging discipline that holds great promise for modern agriculture by utilizing proximal and/or remote sensing for disease detection and diagnosis. Despite its revolutionary potential, challenges remain in both fundamental research and field application for plant disease sensing.
Article
Ecology
Melinda Martinez, Michael J. Osland, James B. Grace, Nicholas M. Enwright, Camille L. Stagg, Simen Kaalstad, Gordon H. Anderson, Anna R. Armitage, Just Cebrian, Karen L. Cummins, Richard H. Day, Donna J. Devlin, Kenneth H. Dunton, Laura C. Feher, Alejandro Fierro-Cabo, Elena A. Flores, Andrew S. From, A. Randall Hughes, David A. Kaplan, Amy K. Langston, Christopher Miller, Charles E. Proffitt, Nathan G. F. Reaver, Colt R. Sanspree, Caitlin M. Snyder, Andrew P. Stetter, Kathleen M. Swanson, Jamie E. Thompson, Carlos Zamora-Tovar
Summary: Climate change is altering extreme weather events, and quantifying ecosystem responses to these events is crucial but limited by data availability. This study integrated remote sensing and ground-based observations to assess vegetation damage caused by an extreme freeze event. The results show a threshold relationship between minimum temperature and leaf damage of Avicennia germinans, a mangrove species, with significant damage observed along the central Texas coast. These findings highlight the value of combining remote sensing and ground-based observations to understand the effects of extreme freeze events on mangroves and their expansion near northern range limits in North America.
Article
Environmental Sciences
Guangbo Ren, Jianbu Wang, Yunfei Lu, Peiqiang Wu, Xiaoqing Lu, Chen Chen, Yi Ma
Summary: Climate change has had a profound impact on global ecological security, with the Arctic being one of the most vulnerable regions. Changes in vegetation coverage and glaciers in the Ny-Alesund coastal region are crucial for understanding global climate change. The study found a trend of declining and then increasing vegetation cover, with accelerated glacier melting after 2000 being attributed to human activities and climate changes.
Article
Environmental Sciences
Gerard Sapes, Cathleen Lapadat, Anna K. Schweiger, Jennifer Juzwik, Rebecca Montgomery, Hamed Gholizadeh, Philip A. Townsend, John A. Gamon
Summary: The study developed a PLS-DA model using airborne hyperspectral reflectance to detect oak wilt disease. The use of SWIR wavelengths and a phylogenetic approach improved the accuracy of the model. Multispectral indices associated with physiological decline were important for detecting oak wilt, particularly those related to canopy photosynthetic activity and water status.
REMOTE SENSING OF ENVIRONMENT
(2022)
