Impact of lockdown and crop stubble burning on air quality of India: a case study from wheat-growing region

J Mohite, S Sawant, A Pandit, S Pappula - Environmental Monitoring and …, 2022 - Springer
The emergence of COVID-19 has brought the entire planet to a halt. Many countries,
including India, were compelled to shut down most urban, industrial, social and other …

Reliable Crops Classification Using Limited Number of Sentinel-2 and Sentinel-1 Images

B Hejmanowska, P Kramarczyk, E Głowienka, S Mikrut - Remote Sensing, 2021 - mdpi.com
The study presents the analysis of the possible use of limited number of the Sentinel-2 and
Sentinel-1 to check if crop declarations that the EU farmers submit to receive subsidies are …

Classification of vegetation types in the mountainous terrain using random forest machine learning technique

R Singh, AP Mishra, M Kumar, CB Pande - Climate Change Impacts on …, 2023 - Springer
Classification of vegetation into appropriate classes is important for management and
conservation planning. Field-based observations are now extensively supported with remote …

Remote Sensing-Based LULP Change and Its Effect on Ecological Quality in the Context of the Hainan Free Trade Port Plan

P Liu, T Wen, R Han, L Zhang, Y Liu - Sustainability, 2024 - mdpi.com
The study of Land Use and Landscape Patterns (LULPs) changes and their ecological
quality effects in Haikou city under the background of the Hainan Free Trade Port Plan …

Extracting winter wheat based on multi-feature optimization of short-time series synthetic aperture radar data with dual polarizations

K Wang, Z Wang, Z Li, X Liu, H Zhang… - Journal of Applied …, 2024 - spiedigitallibrary.org
Winter wheat is one of the major food crops in China. It is of great importance to timely and
accurately monitor winter wheat cultivation for the formulation of agricultural policies …

Climate change and plant phenological variability

SN Phukon, M Kumar, H Singh… - … Change Alleviation for …, 2022 - taylorfrancis.com
Plant phenology is the study of timing of recurrent life-cycle eventsin plants which is
triggered by fluctuations in environmental conditions. Phenological studies are vital for …

Mapping Winter Wheat Using Ensemble‐Based Positive Unlabeled Learning Approach

H Wang, F Yu, J Xie, H Wan… - … Engineering & Remote …, 2024 - ingentaconnect.com
High‐resolution remote sensing images can support machine learning methods to achieve
remarkable results in agricultural monitoring. However, traditional supervised learning …

Using Data-Powered Positive Deviance to Assess the Adoption and Outcomes of Early-Sown Wheat Varieties in India

B Albanna, G Hesch, D Naeher, D Otto, M Jain… - Available at SSRN … - papers.ssrn.com
Wheat is a crucial crop in India, accounting for a significant portion of the country's
production and consumption. However, the changing climate poses a threat to wheat yields …