The Project
  • 首页
  • 关于
  • 快报
  • 通报
  • 方法
  • 出版物
  • 联系我们
  • 中文
    • 中文
    • English
    • Português
  • 登录

Indonesia Main producing and exporting countries
作者: 编辑:


During the monitoring period, the second-season rice in Java and the dry-season corn had been harvested. The rainy season corn in Java and Sumatra and the main season rice had been sown in November.

CropWatch agroclimatic indicators showed that temperatures were close to the 15YA (TEMP +0.0°C), precipitation was below the average (RAIN -2%), but radiation was above the 15YA (RADPAR +2%), which resulted in above-average potential biomass production (BIOMSS +2%).

According to the regional NDVI development graph, crop conditions were below the 5YA in the whole monitoring period. Flooding occurred in Indonesia between December 2022 and January 2023,  which caused a drop in NDVI in some parts. The NDVI departure cluster profiles indicate that 31.3% of arable land was close to or below the average, mainly distributed in Sumatra, Kalimantan, Sulawesi, and Irian. On the remaining 68.7%, located in Java, Kalimantan, and Sumatra, the conditions looked less favorable. However, this might be an artifact due to frequent cloud cover in the satellite images, which causes low NDVI values. The area of cropped arable land (CALF 99%) in Indonesia was close to the 5YA and the VCIx value was 0.92. The CPI index of all regions in Indonesia is greater than 1. In general, crop conditions can be anticipated as normal.


Regional analysis

This analysis focuses on four agro-ecological zones in Indonesia: Sumatra (92), Java (90, the main agricultural region in Indonesia), Kalimantan and Sulawesi (91), and West Papua (93), among which the first three are the most relevant for crop cultivation. The numbers correspond to the labels in the VCIx and NDVI profile maps.

On Java, the temperature was below the average (TEMP -0.4°C), while precipitation and radiation were above the 15YA (RAIN +16%, RADPAR +1%), resulting in the potential biomass production increase (BIOMSS +7%). According to the NDVI development graphs, crop conditions were close to the 5YA in the early stage of the monitoring period, but they were below average in December and January. The Crop Production Index (CPI) in Java was 1, which indicates normal conditions.  Overall, crop conditions can be assessed as normal in Java.

On Kalimantan and Sulawesi, precipitation was below the average (RAIN -2%). whereas temperature and radiation were above the 15YA (TEMP +0.1°C, RADPAR +2%), which brought an increase in the potential biomass production (BIOMSS +3%). As shown in the NDVI development graphs, crop conditions were significantly below the 5YA. This can be partly attributed to the floods that occurred in this region in January. The Crop Production Index (CPI) in Kalimantan and Sulawesi was 1. The crop conditions can be assessed as normal. 

According to the agroclimatic conditions of Sumatra, radiation was close to the 15YA (RADPAR +0%), precipitation and temperature were below average (RAIN -4%, TEMP -0.1°C) and the potential biomass production was above average (BIOMSS +1%). NDVI development graphs show that crop conditions were below the 5YA. However, cloud cover in the satellite images caused some outliers, and thus the spatial distribution map needs to be interpreted with care and has limited value. The Crop Production Index (CPI) in Sumatra was 1, and the crop conditions can be assessed as normal.



                                                       Figure 3.19. Indonesia’s crop condition, October 2022 – January 2023

                                                                                   (a). Phenology of major crops

     (b) Crop condition development graph based on NDVI                                                   (c) Maximum VCI

                          (d) Spatial NDVI patterns compared to 5YA                                                                                                        (e) NDVI profiles

                               (f)Rainfall profiles                                                                                                       (g)Temperature profiles

                            (h)Crop condition development graph based on NDVI (Java (left) and Kalimantan-Sulawesi (right))

                                                                       (i) Crop condition development graph based on NDVI (Sumatra)

Table 3.29 Indonesia’s agroclimatic indicators by sub-national regions, current season's values and departure from 15YA, 

                                                                 October 2022 – January 2023

Region

RAIN

TEMP

RADPAR

BIOMSS

Current (mm)

Departure (%)

Current (°C)

Departure (°C)

Current (MJ/m2)

Departure  (%)

Current (gDM/m2)

Departure    (%)

Java

1360

16

25.2

-0.4

1279

1

1495

7

Kalimantan and

Sulawesi

1255

-2

24.7

 0.1

1185

2

1515

3

Sumatra

1392

-4

24.2

-0.1

1076

0

1501

1

West Papua

1545

-5

23.7

 0.1

1075

2

1411

0












Table 3.30 Indonesia’s agronomic indicators by sub-national regions, current season’s values and departure from 5YA, 

                                                October 2022 – January 2023

Region

Cropped arable land fraction

Maximum VCI

Current (%)

Departure     (%)

Current

Java

99

1

0.94

Kalimantan and Sulawesi

99

0

0.93

Sumatra

99

0

0.91

West Papua

100

0

0.95






菜单

  • Executive summary
    • Executive summary
  • Global agroclimatic patterns
    • Global agroclimatic patterns
  • Crop and environmental conditions in major production zones
    • Overview
    • West Africa
    • North America
    • South America
    • South and Southeast Asia
    • Western Europe
    • Central Europe to Western Russia
  • Main producing and exporting countries
    • Overview
    • Country analysis
    • Afghanistan
    • Angola
    • Argentina
    • Australia
    • Bangladesh
    • Belarus
    • Brazil
    • Canada
    • Germany
    • Egypt
    • Ethiopia
    • France
    • United Kingdom
    • Hungary
    • Indonesia
    • India
    • Iran
    • Italy
    • Kazakhstan
    • Kenya
    • Cambodia
    • Sri Lanka
    • Morocco
    • Mexico
    • Myanmar
    • Mongolia
    • Mozambique
    • Nigeria
    • Pakistan
    • Philippines
    • Poland
    • Romania
    • Russia
    • Thailand
    • Türkiye
    • Ukraine
    • United States
    • Uzbekistan
    • Viet Nam
    • South Africa
    • Zambia
    • Kyrgyzstan
    • Syria
    • Algeria
  • China
    • Overview
    • Northeast region
    • Inner Mongolia
    • Huanghuaihai
    • Loess region
    • Lower Yangtze region
    • Southwest China
    • Southern China
  • Focus and perspectives
    • Global Crop Production Index
    • 2023 Global production outlook
    • Disaster events
    • Update on El Niño or La Niña
  • Annex
    • Annex A. Agroclimatic indicators and BIOMSS
    • Annex B. Quick reference guide to CropWatch indicators, spatial units, and production estimation methodology

Figures

  • 北京市朝阳区北辰西路奥运科技园区
  • +86 10-64842375/6
  • +8610-64858721(传真)
  • 许可证号:京ICP备05080539号-16
  • cropwatch@radi.ac.cn

中国科学院空天信息创新研究院(AIRCAS)

RADI CAS

Copyright © 2025 中国科学院空天信息创新研究院生态系统遥感研究室