Article
Environmental Sciences
Sadiq Al-Maliki, Taha I. M. Ibrahim, Gusztav Jakab, Malihe Masoudi, Jamal S. Makki, Zoltan Vekerdy
Summary: This paper introduces a method for classifying and monitoring the Al Hammar Marsh in Iraq using multispectral satellite imagery, and suggests a relationship between the NDVI, NDMI, and NDWI indices. Six land cover classes were used, and the effectiveness was validated on Landsat 8 and Sentinel-2 datasets.
Article
Environmental Sciences
Mohsen Sharafatmandrad, Azam Khosravi Mashizi
Summary: Ants play a crucial role in arid ecosystems, with different ant species impacting plant communities and soil seed banks in distinct ways. Harvester ants and scavenger ants have different roles in plant communities, contributing to restoration efforts and ecosystem sustainability. Maintaining the diversity of key ant species is essential for the preservation of shrubs in arid ecosystems.
JOURNAL OF ARID LAND
(2021)
Article
Ecology
Yujin Park, Qunshan Zhao, Jean-Michel Guldmann, Elizabeth A. Wentz
Summary: This study examines the effectiveness of shading in reducing land surface temperature in a hot-arid residential environment. The results show that shading has a cumulative cooling effect, with tree shade being more effective than building shade. The importance of temporal shade planning and policy recommendations for urban heat mitigation is discussed.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Geography, Physical
Yaoliang Chen, Xiaotao Huang, Jingfeng Huang, Shanshan Liu, Dengsheng Lu, Shuai Zhao
Summary: The study successfully monitored the dynamics of desert vegetation in a dryland basin of Northwest China using MESMA method. Results showed areas of degradation, recovery, and greening, and analyzed different influencing factors, demonstrating the potential application of this method in semi-arid and arid regions.
GISCIENCE & REMOTE SENSING
(2021)
Article
Environmental Sciences
Alberto Bento Charrua, Rajchandar Padmanaban, Pedro Cabral, Salomao Bandeira, Maria M. Romeiras
Summary: This study analyzed temporal changes in Land Use and Land Cover (LULC) across Sofala Province in Mozambique using Landsat satellite images before and after Cyclone Idai. The results showed that the most devastated areas were in the Northeastern, Central, and Southern regions, with dense vegetation being the most affected. The study also suggested that vegetation type might influence the degree of damage to LULC.
Article
Ecology
Andre Vicente Liz, Dennis Roedder, Duarte Vasconcelos Goncalves, Guillermo Velo-Anton, Pedro Tarroso, Philippe Geniez, Pierre-Andre Crochet, Silvia B. Carvalho, Jose Carlos Brito
Summary: This study reveals a high and widespread diversity of lizards in the arid regions of the Sahara Desert, with their history linked to climate change. Northern Sahara acts as a unique hotspot for diversity, while the southern regions connect wide-ranging lineages from the Red Sea to the Atlantic coast. Terrain and land cover influence genetic diversity and geographic structure.
JOURNAL OF BIOGEOGRAPHY
(2023)
Article
Environmental Studies
Xuewu Li, Hailili Zulkar, Daoyang Wang, Tingning Zhao, Wentong Xu
Summary: This study investigates the dynamic changes of vegetation coverage in the arid desert region of Northwest China and analyzes the migration characteristics of its gravity center. The results show an increase in the proportion of light and severe vegetation coverage and a decrease in medium vegetation coverage. The distribution of medium- and high-grade vegetation tends to migrate to the southeast and south, possibly due to humid climate conditions and higher population density in those directions. The migration of vegetation is mainly concentrated in the southeast-south direction. Vegetation degradation occurs in the northwest region, while vegetation improvement is the main trend in the southeast and south region. The direction of vegetation migration may be influenced by precipitation and soil humidity. This study provides a theoretical basis and has certain guiding significance for desertification control, ecological sustainable management, ecological restoration, and protection in the arid desert region of Northwest China.
Article
Environmental Studies
Mouldi Gamoun, Mounir Louhaichi
Summary: Natural rangelands in Tunisia's Tataouine province have a diverse botanical composition with 40% of species being palatable and over 13% being used in traditional and modern medicine.
Article
Multidisciplinary Sciences
Dongdong Wang, Zaijian Yuan, Dingqiang Li, Yong Chen, Zhenyue Xie, Yanfei Lai
Summary: This study conducted field simulation rainfall experiments which revealed that sheet erosion rate increases with rainfall duration before stabilizing, planting P. vulgaris or using P. vulgaris in combination with earthworms can significantly reduce sheet erosion, and rain intensity has a greater impact on sheet erosion than slope.
SCIENTIFIC REPORTS
(2022)
Article
Green & Sustainable Science & Technology
Brijesh Yadav, Lal Chand Malav, Shruti V. Singh, Sushil Kumar Kharia, Md. Yeasin, Ram Narayan Singh, Mahaveer Nogiya, Roshan Lal Meena, Pravash Chandra Moharana, Nirmal Kumar, Ram Prasad Sharma, Gangalakunta P. Obi Reddy, Banshi Lal Mina, Prakash Kumar Jha
Summary: Understanding the dynamics of vegetative greenness and its interactions with hydroclimatic factors is crucial for comprehending the implications of climate change. This study utilized MODIS data to analyze the vegetation patterns in Rajasthan, India over 21 years and investigated factors like rainfall, land surface temperature, and evapotranspiration. The results showed increasing trends in normalized difference vegetation index (NDVI), evapotranspiration, and rainfall, while land surface temperature had a decreasing trend. The positive correlation between NDVI and evapotranspiration, as well as the negative correlation between NDVI and land surface temperature, suggests vegetation improvement rather than degradation. These findings provide valuable insights into vegetation changes and can aid in ecosystem conservation and sustainable management.
Article
Engineering, Electrical & Electronic
Michele Gazzea, Michael Pacevicius, Dyre Oliver Dammann, Alla Sapronova, Torleif Markussen Lunde, Reza Arghandeh
Summary: This paper proposes an automated framework for monitoring vegetation along power lines using high-resolution satellite imagery and machine learning algorithms, aiming to reduce monitoring costs and time by replacing ground patrols and helicopter/drone inspections.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Environmental Sciences
Zilong Xia, Yingjie Li, Wei Zhang, Shanchuan Guo, Lilin Zheng, Nan Jia, Ruishan Chen, Xiaona Guo, Peijun Du
Summary: Global drylands are experiencing a boom in the development of centralized photovoltaics to address climate change and energy transformation. In this study, the impact of solar PV deployment and climate change on vegetation in a large-scale dryland PV plant was quantified. The results showed that vegetation has increased gradually, with the rate of recovery doubling during the PV expansion period. Climate change was found to be the main driver of increased vegetation, followed by the expansion of solar PV infrastructures. Vegetation inside PV arrays grew faster due to improved rainwater utilization and reduced sunlight impact.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Environmental Sciences
Felicia O. Akinyemi
Summary: The study utilized remote sensing and Geographic Information System techniques to assess and map drought evolution in 17 constituencies of the Central District of Botswana. Results showed that the growing seasons of 2002-2003, 2003-2004, and 2015-2016 were the most drought-stricken in the entire time series, coinciding with the El Nino southern oscillation (ENSO).
Article
Environmental Sciences
Joao Catalao, Ana Navarro, Joao Calvao
Summary: In the Mediterranean region, a study was conducted using high spatial resolution multispectral images to detect and map cork oak mortality, attributing the increase in tree mortality to temperature rise and prolonged drought periods. An approach based on change detection and unsupervised classification achieved accurate results with precision and recall values higher than 90%, providing valuable insights for understanding ecosystem change and implementing mitigation mechanisms for desertification processes.
Article
Environmental Sciences
Tatiana Fernanda Canata, Marcelo Chan Fu Wei, Leonardo Felipe Maldaner, Jose Paulo Molin
Summary: This study aimed to explore the potential of multi-temporal imagery data as an alternative for sugarcane yield mapping. By developing predictive sugarcane yield models integrating time-series orbital imaging and a machine learning technique, the study found that spectral bands, especially the near-infrared at tillering crop stage, showed greater contribution to predicting sugarcane yield. The Root Mean Squared Error (RMSE) obtained for the RF regression based on multiple spectral bands was 4.63 Mg ha(-1) with an R-2 of 0.70 for the testing dataset, indicating that the RF regression had better performance than the MLR to predict sugarcane yield.
Article
Environmental Sciences
Yuki Hamada, Mark A. Grippo
JOURNAL OF APPLIED REMOTE SENSING
(2015)
Article
Ecology
Yuki Hamada, Ben L. O'Connor, Andrew B. Orr, Kelsey K. Wuthrich
JOURNAL OF ARID ENVIRONMENTS
(2016)
Article
Environmental Sciences
Yuki Hamada, Douglas A. Stow, Dar A. Roberts, Janet Franklin, Phaedon C. Kyriakidis
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2013)
Article
Geography, Physical
Yuki Hamada, Jack A. Gilbert, Peter E. Larsen, Madeline J. Norgaard
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2014)
Article
Chemistry, Analytical
Yuki Hamada, David Cook, Donald Bales
Article
Computer Science, Information Systems
Ken Copenhaver, Yuki Hamada, Steffen Mueller, Jennifer B. Dunn
Summary: The study examined the characteristics of Cropland Data Layer (CDL) from the United States Department of Agriculture (USDA) from 2007 to 2017, showing comparable trends with other datasets in terms of cropland area but with differences in absolute area. However, the study also found that using different year combinations for analysis could result in unlikely change scenarios.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Environmental Studies
Yuki Hamada, Colleen R. Zumpf, Jules F. Cacho, DoKyoung Lee, Cheng-Hsien Lin, Arvid Boe, Emily Heaton, Robert Mitchell, Maria Cristina Negri
Summary: This study demonstrated the use of optical remote sensing and linear regression models to predict perennial bioenergy grass yields, showing promising results in field data from the U.S. Midwest. The green spectral band had a greater impact on yield prediction than the red band, and yields could be predicted 152 days before harvest.
Article
Environmental Sciences
Yuki Hamada, Douglas A. Stow, Lloyd L. Coulter, Jim C. Jafolla, Leif W. Hendricks
REMOTE SENSING OF ENVIRONMENT
(2007)