Mojokerto Regency is one of the regencies in East Java with a high population growth rate of around 0.96%, thus encouraging significant land use changes on built-up areas. Classifying remote sensing imageries to obtain reliable and accurate land use and land cover (LULC) information remains a challenge that depends on many factors such as complexity of the landscape, the remote sensing data selected, image processing, and classification methods. This study examined the accuracy assessment of LULC classification using Google Earth in Sadar Watershed, Mojokerto, East Java Indonesia for the years 2010, 2015, and 2020. The land use was classified into five categories; those are agriculture land (paddy field, field, and plantation), non-agriculture land (forest land, bushland, grazing land), bare land, settlement land, and water bodies. Around 85 random points were generated in ArcGIS and verified with Google Earth. The results showed that the Overall Accuracy of LULCC for 2010 was 80.2% and Kappa Coefficient was 0.74; for 2015, the Overall Accuracy was 85.3% and Kappa Coefficient was 0.8, and for 2020, the Overall Accuracy was 84.0%, and Kappa Coefficient was 0.79. All accuracy is considered as good categorized and acceptable in both overall accuracy and Kappa Coefficient.

Perbedaan jenis tanah dan letak geografis kebun kelapa sawit menyebabkan variasi sifat fisik tanah (terutama tekstur dan porositasnya).  Perbedaan letak geografis juga menyebabkan variasi jumlah curah hujan yang mempengaruhi neraca air lahan. Respons fluktuasi produksi kelapa sawit yang berbeda akibat variasi jenis tanah dan neraca air lahan dapat dikaji dengan analisis hubungan neraca air lahan dan produktivitas kelapa sawit antar jenis tanah dan antar wilayah. Pada penelitian ini, analisis neraca air lahan dilakukan pada tiga lokasi area perkebunan kelapa sawit PT Bumitama Gunajaya Agro yang berada di provinsi Kalimantan Tengah dan Kalimantan Barat, menggunakan metode Thornthwaite-Mather. Analisis hubungan komponen neraca air dengan produksi TBS kelapa sawit dihitung berdasarkan data bulanan selama 8 tahun (2012 – 2019) menggunakan time series analysis dan untuk mencari model regresi terbaik digunakan stepwise regression.  Komponen neraca air yang paling mempengaruhi produksi tandan buah segar (TBS) kelapa sawit (ton/ha/bulan) adalah curah hujan 7 bulan sebelum panen, hari hujan 11 dan 28 bulan sebelum panen, dan defisit air 10 bulan sebelum panen.  Penurunan produksi TBS (ton/ha/bulan) terjadi setiap ada kenaikan defisit air senilai 10 mm/bulan pada tanah Dystrudept, Paleudults dan Haplohumods di Area 3 berturut-turut adalah 11, 2, dan 3%. Pada Area 5 penurunannya adalah 12, 4, dan 5%. Pada Area 6 penurunannya adalah 5, 18 dan 3%.

ABSTRAK 2001, 2006, and 2010 showed the water yield of 874.66, 1047.70, and 774.04 mm respectively. The coefficient of surface runoff (C) for those three years were 0.16, 0.31, and 0.23, whereas the coeficient of river regime were 30.65, 66.25, and 53.57 respectively. The application of agrotechnology on agricultural land and in line with the functions of forest area (scenario 4) gave the best response towards hydrological characteristics in the form of 709.69 mm of water yield with C being 0.14, whereas the coeficient of river regime value was 3.66.

Bentuk lahan dikenal sebagai unit tanah dengan fase atau takson tertentu tergantung pada sistem pemetaan. Tujuan dari penelitian ini adalah untuk mengkarakterisasi perbedaan beberapa sifat tanah sepanjang bentuk lahan. Dihipotesiskan bahwa posisi tanah dalam bentuklahan menunjukkan sifat yang berbeda. Data dianalisis secara kuantitatif dengan teknik deskriptif termasuk variasi rata-rata, standar deviasi dan koefisien varian dilanjutkan dengan analisis varian menggunakan Least Significance Different (LSD). Hasil penelitian menunjukkan bahwa sifat-sifat tanah, khususnya permeabilitas tanah memiliki perbedaan yang signifikan sesuai dengan posisi urutan kemiringannya dalam bentuk lahan tertentu.

Meeting the growing demand for agricultural production while preserving water regulation ecosystem services (WRES) is a challenge. One way to preserve WRES is by adopting multifunctional landscape approach. Hence, the main objective was to evaluate the role of forest patches (FP) in preserving WRES in tropical landscapes dominated by oil palm plantations. The SWAT model was used to evaluate the essential WRES, such as water yield (WYLD), soil water (SW), surface runoff (SURQ), groundwater recharge (GWR), and evapotranspiration (AET). Due to a compaction, soils in monoculture plantation have higher bulk density and lower porosity and water retention, which decrease WRES. Conserving FP among oil palms evidently improves WRES, such as decreasing SURQ and rain season WYLD and increasing GWR, SW, AET, and dry season WLYD. FP has sponge-like properties by storing water to increase water availability, and pump-like properties by evaporating water to stabilize the microclimate. Mature oil palm also has pump-like properties to maintain productivity. However, it does not have sponge-like properties that make water use more significant than the stored water. Consequently, a multifunctional landscape could enhance WRES of forest patches and synergize it with provisioning ecosystem services of oil palm plantations.