Optical and Radiative Properties of Aerosols over Two Locations in the North-West Part of India during Premonsoon Season by Yogesh Kant, Atinderpal Singh, Debashis Mitra, Darshan Singh, P. Srikanth, A. S. Madhusudanacharyulu, Y. N. V. Krishna Murthy

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Modeling Residence Time Distribution (RTD) Behavior in a Packed-Bed Electrochemical Reactor (PBER) by Sananth H. Menon, G. Madhu, Jojo Mathew

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The Telegraph Equation and Its Solution by Reduced Differential Transform Method by Vineet K. Srivastava, Mukesh K. Awasthi, R. K. Chaurasia, M. Tamsir

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Pengalaman santri dalam mengembangkan karakter religius di pondok pesantren by Halimatussakdiah Harahap, Junaidi Arsyad

“…Dari hasil penelitian yang saya dapatkan pada MTs.Hifzil Qur’an Islamic Centre Sumatera Utara, dengan strategi pengembangan karakter religius ini yang diterapkan antara lain: Dengan pembiasaan berdoa sebelum dan sesudah melakukan kegiatan apel pagi dan sebelum masuk kelas untuk berdoa bersama, atau mengajak santri membacakan sholawat sebelum pelajaran dimulai, pelajaran akidah akhlak: mengadakan memperingati hari besar islam, seperti peringatan maulid Nabi Muhammad, peringatan isro’mi’roj, hari raya idul fitri dan idul adha, yang kegiatannya sesuai dengan peringatan yang dilakukan: Pelajaran untuk hidup rukun dengan orang-orang sekitar dengan menyapa guru dan teman saat bertemu diluar kelas maupun sekolah; serta mengimpelentasikan ajaran-ajaran agama islam dalam terkaitnya konsep iman, islam, dan ikhsan,mulai muatan kurikulum yang direalisasikan dalam kehidupan sehari-hari baik dipesantren,sekolah,dan dimasyarakat. …”
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Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…Airborne lidar, although precise, incurs high costs and has limited geographical coverage, thereby necessitating the exploration of alternative, cost-effective methodologies for snow depth estimation. The forthcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, with its 12-day global revisit cycle and 1.25 GHz L-band frequency, introduces a promising avenue for cost-effective, large-scale snow depth and snow water equivalent (SWE) estimation using L-band Interferometric SAR (InSAR) capabilities. …”
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Characterizing Tidal Marsh Inundation with Synthetic Aperture Radar, Radiometric Modeling, and In Situ Water Level Observations by Brian T. Lamb, Kyle C. McDonald, Maria A. Tzortziou, Derek S. Tesser

“…These findings have relevance to the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, as threshold-based classifications of wetland inundation dynamics will be employed to verify that NISAR datasets satisfy associated mission science requirements to map wetland inundation with classification accuracies better than 80% at 1 hectare spatial scales.…”
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Phosphorus transitions driven by cyclone biparjoy linked middle east North Africa (MENA) and Indian Thar Desert dust storm pathways in Asia’s largest grassland by Rupak Dey, Seema B. Sharma, Mahesh G. Thakkar, Ranjit Kumar Sarangi, Abhiroop Chowdhury, Aliya Naz

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Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India by Aparnna Ravi, Dhanyalekshmi Pillai, Christoph Gerbig, Stephen Sitch, Sönke Zaehle, Vishnu Thilakan, Chandra Sekhar Jha, Thara Anna Mathew

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